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23-Jul-2024<h4>Sr. Research Portfolio Manager</h4>Faculty of Arts and Sciences 66431BRPosition DescriptionIn the Molecular and Cellular Biology Department we research and teach how the collective behavior of molecules and cells forms the basis of life. We are driven by a passion for discovery and value collaborative approaches to scientific inquiry, where connections between people fuel interdisciplinary science and break boundaries across varied experimental systems. Against a backdrop of cutting-edge biological research, we work as a team of educators and mentors to inspire and train the next generation of scientists and global citizens. The Department is looking for a Senior Research Portfolio Manager who will be responsible for mentoring other team members, handling the most challenging and complex portfolios, and providing comprehensive pre- and post-award support to faculty, postdoctoral fellows, and students.&nbsp;Pre-award Responsibilities<ul><li>Provide direct support to faculty and lab administrators with proposal preparation, including budget development, assembly of supporting documentation, and required institutional information</li><li>Advise and assist Principal Investigator (PI) with granting agency policies and programmatic reporting requirements of the various funding organizations, including progress reports</li><li>Shepherd supported proposals through the school and university proposal review and submission process</li><li>Ensure compliance with federal regulations and University, school, and sponsor policies</li><li>Notify faculty of granting opportunities, providing information and application forms as necessary</li><li>Analyze and report sponsored funding trends</li></ul>Post-award Responsibilities<ul><li>Manage faculty designated funding (sponsored and non-sponsored funds). This includes complex financial management and analysis; compliance with University policy and sponsor’s terms and conditions, and reporting</li><li>Conduct monthly detailed financial analysis of portfolios and provide individual consulting to faculty clients</li><li>Strategize with faculty on resource and personnel allocations</li><li>Monitor balances, reconcile, perform spending projections, and address ad hoc queries</li><li>Proactively establish relationships with PIs, Lab Administrators, and lab members while maintaining effective communication and protecting confidential information</li><li>Work closely with the PI and Office for Sponsored Programs to review new awards, set up budgets, and provide guidance on policy</li><li>Review and approve financial transactions such as reimbursements for travel and corporate card payments, PCards, and B2P up to $49,999.99</li><li>Facilitate the effort certification process and advise the PI on related policies</li><li>Provide guidance to lab administrators on finance and sponsored research matters including systems, policies, and procedures</li></ul>Additional Responsibilities<ul><li>Mentor and coach other members of the Research Administration team</li><li>Handle the most complex and challenging portfolios by reviewing proposals for submission and creating post-award snapshots</li><li>Provide policy and procedure guidance to the Research Administration team in the absence of the Assistant Director for Research Administration</li><li>Provide proposal review assistance in GMAS in the absence of the Assistant Director for Research Administration or as assigned (ad hoc)</li><li>Participate and or be a member of research administration committees both at the department and school level, providing representation and expertise towards process change&nbsp;</li></ul>Basic Qualifications<ul><li>Bachelor’s degree or equivalent work experience required</li><li>Minimum of 5 years’ relevant work experience</li><li>Advanced knowledge of sponsored research regulations</li></ul>Additional Qualifications and Skills<ul><li>Knowledge and demonstrated use of MS Office suite</li><li>Knowledge of financial principles, budget management, and financial analysis</li><li>Demonstrated experience with sponsored research awards including DoD (AFOSR, ONR, ARO, DARPA) NSF, NASA, DoE, NOAA, National Laboratories, International Collaborations</li><li>Experience with Harvard financial and grants administration systems and applications highly preferred</li><li>Meet and plan deadline driven work timelines</li><li>Excellent analytical, organizational, written, and oral communication skills</li><li>Self-directed, possess a high degree of judgment, work independently with minimum supervision and handle confidential information with discretion</li><li>Desire and willingness to assume increasing and changing responsibilities</li></ul>Additional InformationTo be considered for this position, please submit a resume and cover letter along with your application.&nbsp; We are unable to provide visa sponsorship for this position. All formal written offer letters will be made by FAS HR.&nbsp;Work Format DetailsThis is a hybrid position that is based in Massachusetts.&nbsp;There is an expectation that the person in this position will be able to work on site in Cambridge, MA&nbsp;. Additional details will be discussed during the interview process.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionFinance Department Office LocationUSA - MA - Cambridge Job CodeF1357P Research Admin III PrPs Work FormatHybrid (partially on-site, partially remote) Sub-UnitSciences Salary Grade057DepartmentMolecular and Cellular BiologyUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningIdentity Schedule35 hours per weekCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KO1

Harvard University FAS Human Resources

Sr. Research Portfolio Manager

As the customer service representative, you will post charges and payments for Banner and Touchnet in a timely manner and process cardholder accounts and meal plan management in Atrium. You will be expected to produce ID cards, participate in student orientation, process parking decal requests in TiceTrak, and process reports for activity readers for campus events. Additionally, you will be responsible for maintaining department email and telephone support.&nbsp;Minimum Qualifications: &nbsp;<ul><li>High school diploma</li><li>Minimum of three years in customer service</li><li>Exceptional communication skills and Microsoft Office Suite literacy</li></ul>Certificates, licenses, and registrations: <ul><li>Valid driver’s license</li></ul>Work Hours: The university work week is Sunday through Saturday. Most offices are open Monday through Friday from 8:30 a.m. to 5:30 p.m. To accommodate business needs, employees may be assigned to other work days and/or hours, including weekends and evenings.&nbsp;ADA Tag: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements and minimum qualifications listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions and/or meet the minimum qualifications.&nbsp;

Savannah College of Art and Design

Auxiliary Technology Specialist II

15-Jul-2024<h4>Operations Manager, Information Technology, Executive Education</h4>Harvard Business School 66362BRJob SummaryThe Operations Manager will report to the Sr. Associate Director, Executive Education, Information Technology (ExEd IT). This position will focus on supporting Executive Education’s Salesforce ecosystem, spanning 11 departments within ExEd including Marketing, Admissions, Finance, Program Development, and Delivery. This position will also serve as project manager for other technologies necessary in supporting ExEd programs, faculty, participants, and the program delivery team. The position works directly with the EEIT team to oversee operational requests from Executive Education Staff. The ideal candidate will have a working knowledge of Salesforce and prior support experience. They will be responsible for analyzing and providing technical solutions for complex operational cases, as well as allocating assignments across the team equitably, monitoring progress, assessing, and communicating risk to the EEIT management team.Position DescriptionOperational Leadership &amp; Technical Expertise<ul><li>Develop comprehensive expertise in the ExEd Salesforce ecosystem to effectively prioritize and manage requests beyond standard releases.<ul><li>&nbsp;These may include critical issues, requests for reports, training materials, data management, general support, potential bugs, or enhancements.</li></ul></li><li>&nbsp;Analyze and provide technical solutions for Tier 2 operational cases, as needed.</li><li>&nbsp;Provide expertise to internal team members regarding technical solutions for operational cases and guidance to team members on case priority relative to other operational case work.</li><li>&nbsp;Oversee case triage, assigning tasks to appropriate EEIT team members based on capacity and priority.</li><li>Escalate critical requests to the appropriate team members.</li><li>Oversee case support, testing and troubleshooting</li><li>Work with Harvard Business School Information Technology (HBS IT) for completion and escalation of operational support issues</li><li>Serve as the principal point of contact for Major Incidents which may impact ExEd systems and staff.</li></ul> Strategic Communication &amp; Team Leadership<ul><li>Coach and motivate the team to meet expectations and adequately perform standard operating procedures.</li><li>Maintain and communicate high-level view of operational cases in progress, including, workload across team, priorities, risks.</li><li>Manage EEIT Team “Stand-Up” Meetings and project meetings, as needed .</li><li>Facilitate discussion and next steps for operational work.</li></ul> Project Management &amp; Integration<ul><li>Manage operational projects, including integration of new tools and software upgrades.</li><li>Collaborate with HBS IT regarding HBS IT supported products, including security reviews.</li><li>Reflect on and continually improve our operations practice – communication, response time, escalation path.</li><li>This role is responsible for other duties as assigned.</li></ul>Basic Qualifications<ul><li>Bachelor’s degree or equivalent work experience required</li><li>Minimum of 6 years’ relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications:<ul><li>Candidates should have strong leadership, coaching, communication and problem-solving skills. Tier 1 and Tier 2 salesforce support analysts will report into this role.</li></ul> Additional/Desired Qualifications:<ul><li>Salesforce support experience.</li><li>Clear written and verbal communication skills.</li><li>Demonstrated coaching, team management, project management skills.</li><li>Strong attention to detail and ability to define clear processes.</li><li>Ability to tackle complex problems and work effectively with colleagues to find solutions.</li></ul>Additional InformationThis is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday - Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. A cover letter is required to be considered for this opportunity. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionFaculty &amp; Student Services, General Administration, Information TechnologyDepartment Office LocationUSA - MA - Boston Job Code383557 Technical/User Support Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade057DepartmentExecutive EducationUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningEducation, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-DM1

Operations Manager, Information Technology, Executive Education

15-Jul-2024<h4>Senior Data Scientist, Generative AI Products, Digital Transformation</h4>Harvard Business School 66242BRPosition DescriptionAs a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale. You will experiment with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. You will be highly influential in advancing our LLM applications and guide teams towards impactful and ethical AI. We seek an expert who is eager to grow and disseminate GenAI model expertise across the organization. In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications that leverage NLP techniques and large language models (LLMs). As a Sr. Data Scientist on our GenAI applications team, you will work on products like conversational search interfaces, chatbots, text summarizers, recommender engines, and more based on the needs of the constituents. You will partner with Product Managers, Machine Learning Engineers, Cloud Platform Engineers, and cross-functional partners to develop production-grade algorithms. Your innovations will drive value creation through personalized engagement, expanded reach, and experimental ways of learning that will continue the Harvard Business School leadership in education, business, and societal impact.<ul><li>Architect the overall framework and infrastructure for GenAI products like search interfaces, bots, summarizers, etc. Develop and implement techniques to optimize model performance to meet specific product goals.</li><li>Collaborate closely with product management and engineering leads to align on technical roadmap. Guide engineering teams to effectively leverage LLM capabilities in product implementations.</li><li>Establish protocols and systems for building fair, accountable and transparent LLM-based applications. Lead efforts to proactively assess and mitigate risks due to model biases or failures.</li><li>&nbsp;Implement robust feedback pipelines, monitoring and corrections to ensure model safety.</li><li>Design and oversee curation of high-quality datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.</li><li>Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in. Contribute novel research and analyses to leading academic conferences and journals.</li><li>Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value. Proactively analyze latest developments in large language models to deeply understand model capabilities, limitations, and best practices. Develop techniques to continually improve language understanding and model training.</li><li>Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds.</li><li>Mentor and develop junior data scientists in state-of-the-art GenAI methods</li><li>Set technical vision and lead initiatives to accelerate product impact through cutting-edge LLM innovations.</li><li>Complete other responsibilities as assigned.</li></ul>Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications: <ul><li>Minimum of three years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.</li><li>Experience with production RAG pipelines and agentic information retrieval and search systems, with the ability to write production level code.</li><li>Minimum of five years’ experience with Python.</li><li>Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools.</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications.</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning.</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems.</li><li>Deep understanding of underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs.</li><li>Experience with cloud computing platforms and tools - AWS</li><li>Experience operationalizing end-to-end machine learning applications.</li></ul> Additional/Desired Qualifications: <ul><li>Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired.</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday.&nbsp;Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionInformation Technology Department Office LocationUSA - MA - Boston Job CodeI0759P Applications Professional V Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade059DepartmentDigital TransformationUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

Senior Data Scientist, Generative AI Products, Digital Transformation

15-Jul-2024<h4>Senior Data Scientist, Generative AI Products, HBS Foundry</h4>Harvard Business School 66313BRPosition DescriptionWe are seeking a talented Generative AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users. As a Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge. AI Tool Development and Implementation<ul><li>Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing</li><li>Ensure quality of datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability.</li><li>Designing, developing, deploying, and implementing multi-agent AI tools that:<ul><li>Assess and provide feedback on venture-related submissions</li><li>Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs</li><li>Act as a counterparty to simulate important entrepreneurial interactions such as customer interviews, negotiations with an investor, etc.</li><li>Designing generative AI models using techniques like natural language processing and machine learning that can power interactive tools on HBS Foundry.</li></ul></li><li>Designing an AI-powered system that collects key factors to determine a learner’s profile, entrepreneurial progress, and venture progress, and provides customized learning pathways based on these factors.</li><li>Integrating AI tools into the HBS Foundry platform in a seamless manner so they are easy for users to access and utilize.</li><li>Collaborate on technical vision to accelerate product impact through cutting-edge LLM innovations.</li><li>Building guardrails, compliance rules, and oversight workflows into the GenAI tools and Foundry platform.</li><li>Continually improving AI tools using feedback from users to ensure they are providing valuable assistance.</li></ul>Project and Performance Management<ul><li>Monitor, debug, track, and resolve production issues.</li><li>Work with the Foundry Project Director to ensure that projects proceed on time and on budget.</li><li>Collaborate with Product Managers to ensure proper tracking of performance KPIs and prioritize improvements based on effort and impact.</li><li>Presenting prototypes and progress updates to stakeholders.</li></ul>Research and Collaboration<ul><li>Staying up to date on the latest advances in AI/ML research and identifying how new techniques could enhance the HBS Foundry platform.</li><li>Collaborating with a team of engineers, designers, and subject matter experts to deliver high-quality, helpful AI-powered experiences.</li><li>This role is responsible for other duties as assigned.&nbsp;</li></ul>Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications:<ul><li>Advanced degree in computer science, data science, engineering, or a related field within AI/ML</li></ul>Additional/Desired Qualifications:<ul><li>3+ years of experience building (Generative) AI models and tools highly preferrable</li><li>Experience working in a similar role in a startup environment preferrable</li><li>Expertise in NLP, deep learning, and other relevant techniques</li><li>Strong programming skills in Python and frameworks like TensorFlow</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)</li><li>Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider solution (AWS highly preferrable)</li><li>Experience in using version control systems such as Git.</li><li>Experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Experience with API development and integration for AI services.</li><li>Understanding of and experience with of software engineering best practices like version control, CI/CD, and containerization</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience operationalizing end-to-end machine learning applications.</li><li>Excellent communication and collaboration skills</li><li>Passion for using AI to solve real-world problems</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. A cover letter is required to be considered for this opportunity. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionGeneral Administration, Information TechnologyDepartment Office LocationUSA - MA - Boston Job CodeI0759P Applications Professional V Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade059DepartmentDean's OfficeUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

Senior Data Scientist, Generative AI Products, HBS Foundry

14-Jun-2024<h4>Research Associate</h4>Harvard Business School 66133BRPosition DescriptionHarvard Business School (HBS) is seeking a&nbsp;qualified candidate for a Research Associate (RA) position. The position is ideal for intellectually ambitious researchers interested in doctoral studies in management, accounting, or applied economics disciplines and a research career. The job will expose candidates to applied quantitative and qualitative research and to executives, analysts, and investors in the field. The position reports directly to two faculty members from the Accounting and Management unit at Harvard Business School working on the following research topics: corporate governance, empirical asset pricing, performance measurement and compensation, and management systems for strategy execution and growth (focused on scaling ventures and geographically dispersed retail and service organizations). The RA position reports directly to faculty supervisor and administrative manager in the Research Staff Services office. Ideal RA candidates will be comfortable in an environment that requires a high level of independence, intellectual curiosity, and the ability to use discretionary judgment.&nbsp; Primary Duties:&nbsp;<ul><li>Support the development and execution of research projects</li><li>Conduct background research for literature reviews and case materials</li><li>Interpret and codify qualitative data; use statistical programs to clean up quantitative data, create datasets, and run analyses</li><li>Use advanced knowledge of quantitative techniques such as robust causal inference methods or machine learning analysis to further research findings; support the development of surveys (e.g., set them up online, approach and follow up with subjects); and help with the execution of field experiments and special projects (e.g., the creation of videos).</li><li>Responsible for other duties as assigned.&nbsp;</li></ul>Basic Qualifications<ul><li>Bachelor’s degree in quantitative field required (Economics, Statistics, Computer Science, etc.) required, along with evidence of outstanding academic achievement.</li><li>Statistical/programming expertise and/or applied experience with STATA and SAS required.</li></ul>Additional Qualifications and Skills<ul><li>Masters degree preferred.</li><li>Ideal RA candidates will demonstrate intellectual curiosity, a strong quantitative background, excellent writing skills, and an ability to use discretionary judgment.</li><li>Candidates must have extremely high standards in terms of quality of work, attention to detail, organization skills, independence, initiative, and commitment to task completion.</li><li>Diplomatic skills, comfort in interacting with individuals, and grace under pressure are essential. Candidates must be able to balance multiple tasks and shift priorities under tight deadlines at an accelerated pace when necessary.</li><li>Strong skills related to the use of Microsoft Office Suite are expected (Latex a plus).</li></ul>Additional InformationThis is a full-time term appointment starting this summer through June 30, 2025, with potential for re-appointment for the following year. All HBS RA roles are structured as one-year appointments. This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus 3 days per week. Specific days and schedule will be determined between you and your manager. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. A cover letter is required to be considered for this opportunity. All candidates will be expected to submit a writing sample and transcript. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore HBS work culture at <a href="https://www.hbs.edu/employment/" target="_blank">https://www.hbs.edu/employment/</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionResearch Department Office LocationUSA - MA - Boston Job CodeRS0055 Researcher I Humanities Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade055DepartmentDivision of Research and Faculty DevelopmentUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Appointment End Date30-Jun-2025Pre-Employment ScreeningEducation, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KD1

Research Associate

27-Jun-2024<h4>Lead Data Scientist, Generative AI Products, Digital Transformation</h4>Harvard Business School 66178BRPosition DescriptionAs our Lead Data Scientist, you will collaborate with and shepherd the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale, experimenting with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. You will be highly influential in advancing our LLM applications and guide teams towards impactful and ethical AI. We seek an expert who is eager to grow and disseminate GenAI model expertise across the organization. In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications that leverage NLP techniques and large language models (LLMs). As a Lead Data Scientist on our GenAI applications team, you will work on products like conversational search interfaces, chatbots, text summarizers, recommender engines, and more based on the needs of the constituents. You will partner with Product Managers, Machine Learning Engineers, Cloud Platform Engineers, and cross-functional partners to develop production-grade algorithms. Your innovations will drive value creation through personalized engagement, expanded reach, and experimental ways of learning that will continue the Harvard Business School leadership in education, business, and societal impact.<ul><li>Architect the overall framework and infrastructure for GenAI products like search interfaces, bots, summarizers, etc. Develop and implement techniques to optimize model performance to meet specific product goals.</li><li>Collaborate closely with product management and engineering leads to align on technical roadmap. Guide engineering teams to effectively leverage LLM capabilities in product implementations.</li><li>Establish protocols and systems for building fair, accountable and transparent LLM-based applications. Lead efforts to proactively assess and mitigate risks due to model biases or failures.</li><li>Implement robust feedback pipelines, monitoring and corrections to ensure model safety</li><li>Design and oversee curation of high-quality datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.</li><li>Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in. Contribute novel research and analyses to leading academic conferences and journals.</li></ul> Additional responsibilities are listed in the Additional Qualifications section below. Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications:<ul><li>Bachelors/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 8+ years equivalent work experience</li><li>3-5 Years Experience in developing a variety of machine learning models and algorithms in a commercial environment with a track record of creating meaningful business impact</li><li>Experience with production RAG pipelines and agentic information retrieval and search systems, with the ability to write production level code.</li><li>Strong Python skills required</li><li>Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience with cloud computing platforms - AWS</li><li>Prior experience in leading data science and machine learning focused on solving business problems and seizing business opportunities</li></ul> Desired/Preferred Qualifications:<ul><li>Proficiency in at least one open-source programming language (R, Java, C++ or another) and SQL desirable</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications</li><li>Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews</li><li>Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas</li><li>Experience working in agile methodology</li></ul> Additional duties and responsibilities include, but are not limited to, the following:<ul><li>Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value. Proactively analyze latest developments in large language models to deeply understand model capabilities, limitations, and best practices. Develop techniques to continually improve language understanding and model training</li><li>Mentor and develop junior data scientists in state-of-the-art GenAI methods</li><li>Set technical vision and lead initiatives to accelerate product impact through cutting-edge LLM innovations</li><li>Manage, coach and mentor a team of data scientists, serving at the predominant technical data science and machine learning expert</li><li>Actively contribute to and re-use community best practices</li><li>Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds</li><li>Promote data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable</li><li>This role is responsible for other duties as assigned</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globeBenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionInformation Technology Department Office LocationUSA - MA - Boston Job CodeI0760P Applications Professional VI Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade060DepartmentDigital TransformationUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

Lead Data Scientist, Generative AI Products, Digital Transformation

Job Description:About&nbsp;The&nbsp;Chicago SchoolThe Chicago School &nbsp;is a nonprofit university with seven in-person locations across the United States, a growing online campus, and education partnerships worldwide. The Chicago School is a minority-majority university with 6,000+ students across 35+ degree programs in psychology, behavioral health, and nursing.&nbsp;The Chicago School is committed to creating a diverse pipeline of&nbsp;future professionals who will fundamentally improve the health and well-being of future generations of diverse communities.&nbsp;&nbsp;Founded in 1979 by a group of psychologists and educators, The Chicago School has grown into a dominant and globally respected leader in the fields of psychology and behavioral health sciences. Today, The Chicago School has an annual operating budget of nearly $150M and employs nearly 600 full-time faculty and staff. As an institution, The Chicago School is deeply committed to student success, innovation, and community impact. Our students are meaningfully connected in their communities, donating more than 1.2 million service hours per year through fieldwork, practicum opportunities, and volunteerism.&nbsp;The Chicago School is part of the TCS Education System, a nonprofit system of colleges advancing student success and community impact.&nbsp;Position Summary:The Los Angeles based APA-accredited Clinical Psychology (Psy.D.) program in the College of Professional Psychology has an opening for a Program Faculty with advanced education, training, and/or experience in Cognitive Science, Cognitive Psychology, Social Psychology, Social Cognition, or related field. Program faculty work with a diverse and engaged community of students, faculty and staff in the preparation of students for entry-level practice in health service psychology. The person who fills this position will teach courses that help students understand the foundational science that underlies clinical practice, and research methods and data analytic strategies used to gain that knowledge. Over the course of the three-semester academic year, Program faculty members may be responsible for teaching, student advisement, chairing dissertations, professional service to the School and community, administration, and optional research/scholarship. While program faculty members are fundamentally responsible for teaching in accordance with TCS's workload policy, adjustments to an individual's teaching load may be made by the Department Chair based on program needs first and individual talents and abilities second. Program Faculty members are recommended to the Vice President of Academic Affairs for hire by the Department Chair.&nbsp;This is a hybrid position requiring faculty to be on campus three days per week.Principle Duties include, but are not limited to:<ul><li>Teaching<ul><li>Teach 18 credit hours over the course of three semesters</li><li>Hold office hours on a weekly basis</li><li>Remain current in field of study/teaching expertise and update course content to reflect knowledge updates</li><li>Prepare course syllabus and plans in accord with Department requirements</li><li>Select textbooks and teaching aids as required</li><li>Classroom instruction including lectures, demonstrations, discussions, or other appropriate modes of education delivery in a higher education setting</li><li>Develop, and regularly update, a system for ongoing evaluation of teaching and student learning</li><li>Provide students with ongoing, timely feedback regarding their attainment of course and program competencies</li></ul></li></ul><ul><li>Advising&nbsp;<ul><li>Maintain an advisee load according to Department needs</li><li>Spend time with advisees to provide mentorship on matters related to their academic, curricular, and career development</li><li>Mentor advisees in preparing their vita and training application materials, as well as write recommendation letters</li><li>Assist the Department Chair in documenting student progress through the program; when necessary, this includes crafting individual Academic Development Plans for Advisees, tracking their compliance, and documenting their progress</li><li>Present progress of advisees to Faculty at semester Student Review meetings, meet with advisees to gather additional information or communicate Faculty concerns, and report back to Faculty on the results&nbsp;</li></ul></li></ul><ul><li>Scholarship<ul><li>Supervise doctoral dissertation projects within the faculty member’s area of expertise using quantitative, qualitative, or program evaluation methods of inquiry</li><li>Using the Boyer model of scholarship, faculty may pursue additional scholarly interests including qualitative/quantitative research, presentations at professional conferences, scholarship-based community service, etc.</li></ul></li></ul><ul><li>Service to Institution<ul><li>Participate in Departmental functions, including but not limited to participating in the analysis of student progress, assisting in general faculty searches, and admissions activities, contributing to general and specific curriculum development activities, mentoring of new faculty members, and other related duties as assigned</li><li>Attendance at faculty meetings and participation in the Faculty Assembly is an expectation.</li><li>Service on committee(s) as agreed upon with Department Chair, including Departmental and Institutional Committees.</li></ul></li></ul><ul><li>Professional Service<ul><li>Maintain scholarly activities that further the practice of professional psychology</li><li>Foster education of, and interest in, student service in the community</li><li>Engage in community service</li></ul></li></ul>Position Qualifications:<ul><li>Ph.D. from a regionally accredited institution</li><li>Teaching experience of at least 3 years preferred</li><li>Record of scholarship and/or community service preferred</li><li>Ability to behave in a collegial and professional manner with all members of The Chicago School community.</li><li>Ability to adhere to the highest professional conduct and ethical standards of the profession of psychology</li></ul>Application:To apply, please complete this application and include a letter of interest, curriculum vitae, and teaching evaluations (if available). For more information about The Chicago School visit <a href="http://www.thechicagoschool.edu" target="_blank">www.thechicagoschool.edu</a>.Compensation &amp; BenefitsThis opportunity is budgeted at $$75,000 to $85,000 base compensation. Additional compensation factors may impact total compensation. To learn more about our competitive benefits and additional rewards, including generous paid time-off, medical and dental insurance coverage, life and disability insurance, retirement plan with employer contribution, multiple flexible spending accounts, tuition reimbursement, click the link below.<a href="https://www.thechicagoschool.edu/career-opportunities/" target="_blank">https://www.thechicagoschool.edu/career-opportunities/</a>The Chicago School is an Equal Opportunity Employer.Please note: For the protection of faculty, staff, students, and all who enter our facilities, The Chicago School strongly recommends that all employees are fully vaccinated for COVID-19 per CDC guidance.

Department Basic Science Faculty, Clinical Psychology Department - Los Angeles

07-Jun-2024<h4>Senior Research Computing Storage Engineer</h4>Faculty of Arts and Sciences 66073BRPosition DescriptionReporting to the Associate Director of Storage Services and collaborating closely with the storage group, this role is pivotal in the design, implementation, and upkeep of crucial storage services. As a senior member of the team, you will play a key role in understanding both present and future storage requirements for FAS Research Computing (RC) users. Your responsibilities will encompass grasping the intricacies of storage technology and collaborating with the team to deliver robust storage solutions at a production level. The role necessitates the ability to handle various projects concurrently, offer guidance and training to junior team members as needed, and extend knowledge and support to the department. Familiarity with the operations of a datacenter environment is essential, given Harvard FAS RC's management of on-premises services. Research Computing at Harvard is an enterprise that continues to reflect the University’s decentralized heritage, the evolution of research-computing infrastructure and funding opportunities, and the strategic development of its central information-technology organization, Harvard University Information Technology (HUIT) and its University Research Computing team.Faculty of Arts &amp; Sciences Research ComputingStarting in 2007, FAS began consolidating and centralizing research-computing resources within the Division of Sciences and soon began expanding across the School as faculty in the social sciences and humanities began to use advanced computing in their research. The organization came to be calledFAS Research Computing and, as more and more faculty across Harvard came to it for support, it extended its services beyond FAS, increasingly in collaboration with HUIT. With HUIT now developing an array of University-wide services and platforms to support faculty beyond FAS, FAS has the opportunity to strategically redefine what resources and services it will continue to support for the Arts &amp; Sciences at Harvard and to broaden the base of users across the School who are advancing their research through computing.In this context, FAS Research Computing continues to evolve, to expand its offerings, and to support research faculty across the School and their collaborators around the world. It has earned a reputation for building partnerships to accelerate research and collaboration. The Director of FAS RC will continue this legacy.FAS’ research computing team directly engages with researchers through help requests, office hours, training, and in-depth consultations. FAS resources include a Top500.org high- performance computing cluster, virtual machines, storage, databases, instrumentation core facility workstations, and other development platforms. FAS Research Computing has numerous other successful collaborations, including building the MGHPCC(<a href="http://www.mghpcc.org/" target="_blank">http://www.mghpcc.org/</a>) in Holyoke, MA with leading partner universities. With these and other institutions, FAS launched the NSF-funded NESE project (<a href="http://nese.mghpcc.org" target="_blank">http://nese.mghpcc.org</a>), which creates a regional cloud storage repository.Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and Skills<ul><li>Broad knowledge in the deployment and management of systems encompassing storage, cluster computing, network, and databases.</li><li>Advanced proficiency in Linux system administration is preferred.</li><li>Understanding and preferably experience with OSI model, Layer 2 &amp; 3 switching and routing, TCP/IP.</li><li>Evaluating, deployment, and managing of open-source tools such as EC2, EBS, and S3.</li><li>Familiarity with Storage Area Networks (SAN) and Network Attached Storage (NAS), including protocols like iSCSI, NFS, and FC.</li><li>Experience with one or more parallel file systems such as EMC/Isilon, VAST, Lustre, GPFS, Gluster, or Ceph.</li><li>Familiarity with data management and Hierarchical Storage Management (HSM) tools like Starfish, Ngenea, and Robinhood is advantageous.</li><li>Proficient in performance tuning and troubleshooting of complex systems, including application load balancing solutions for scaling and High Availability (HA).</li><li>Occasional visits to data centers for vendor liaison, installations, maintenance/repair, etc.</li></ul>Working Conditions<ul><li>Occasionally required to work outside of normal business hours, and may be contacted during off hours.</li><li>Work is performed in an office setting.</li><li>This is a full-time position with flexible hours and a hybrid in-person/remote work schedule option to be agreed upon at hire.</li><li>The selected candidate will periodically need to be on campus as business needs require. All remote work must be performed in a state in which Harvard is registered to do business (CA, CT, MA, MD, ME, NH, NY, RI, and VT).</li></ul>Additional InformationWe regret that Harvard University is unable to provide work authorization and/or visa sponsorship for this position.All formal written offers will be made by FAS Human Resources.Work Format DetailsThis is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). t.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionInformation Technology Department Office LocationUSA - MA - Cambridge Job CodeI1058P IT RC Systems Professional IV Work FormatHybrid (partially on-site, partially remote) Sub-UnitSciences Salary Grade058DepartmentFAS Research ComputingUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, IdentitySchedule35 hours per weekCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KO1

Senior Research Computing Storage Engineer

Position Title Adjunct Faculty Landscape &amp; Horticultural Technology (Pooled Position) Job Category Adjunct Range Minimum Position Type Adjunct Department Land. &amp; Horticult. Technology Job Summary All adjunct faculty positions have as their primary objective to create a dynamic teaching/learning environment for our students, while contributing service to the college. Adjunct faculty responsibilities include teaching assigned courses and following the course description and course outline established by the department. Teaching schedules may include day/evening courses and online/hybrid instruction and other instructional modalities. In accordance with the Adjunct Faculty collective bargaining agreement (CBA), additional activities may include participation in departmental initiatives, evidence of academic achievements, recognition by professional and community organizations, and other duties. Qualifications - Education Bachelor’s degree required in Horticulture, Plant Science, Botany, Agronomy, Agricultural Education or a related Natural Science. Master’s Degree preferred. Qualifications - Experience Prior teaching experience preferred. Priority given to college level teaching. Additional job experience may substitute for teaching experience. Qualifications - Skills Demonstrated knowledge of discipline including current developments and technologies in related fields of specialization. Ability to teach lab courses. Knowledge of computer aided design software encouraged. Ability to work with diverse groups of students. Strong verbal and written communication skills. Work Hours

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