<p>Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!</p> <p>Salary Range</p> <p>$112,500.00 - $198,225.00</p> <p>Overview The Data Intensive Social Science Center (DISSC) at Yale is seeking an experienced AI/ML professional to lead a new support function at the Center aimed at ensuring that all Yale social science faculty can advance their work with these cutting-edge tools. As part of a new initiative at Yale, this role will strive to improve access to, and results of, AI research within the social sciences at Yale. To carry out this work, the AI Support Program Lead will forge connections with scientists at other AI-focused units, such as the Yale Institute for Foundations of Data Science and the Center for Algorithms, Data, and Market Design, to "help the community develop, use, and evaluate AI and apply it to deliver breakthrough research at an unprecedented speed and scale." DISSC's mission is to provide Yale's social scientists a world class, user-centered, support organization to ensure that Yale social science research continues to push the frontiers of each social science discipline. The DISSC, working with its partners throughout the Yale community, supports the entire research lifecycle including the acquisition, secure storage and management, analysis, and dissemination of existing and novel data resources transforming social science research. As a key member of the DISSC team and of the Yale community carrying out this mission, the AI Support Program Lead will be a knowledgeable AI enthusiast interested in building out a support program and in consulting with, and training, faculty to use emerging AI tools as inputs into their research. This will include prompt engineering, use of APIs, and the selection and tuning of models, along with use of other machine learning and algorithmic techniques. The AI lead must also be able to advise on public vs private models and how to work in secure environments. The ideal candidate has experience developing or delivering research services in an academic setting, has a deep understanding of the social science research process, and has skills and experience in the use of various AI and ML tools for data analysis, coding, writing and other tasks. The successful incumbent will be an individual who enjoys working both independently and cooperatively with others, from a broad set of disciplinary backgrounds, on multiple projects involving a wide variety of topics and analytical tools. In this role, the AI Support lead will have principal responsibilities focused on generative AI, LLMs and machine learning. Required Skills and Abilities 1. Experience working with LLMs, generative AI and other ML tools in support of social science research. 2. Fluency in multiple operating systems, programming languages (e.g. Python, R), and AI tools. 3. Demonstrated knowledge of social science research methods. 4. Strong organizational skills, attention to detail, and ability to prioritize and manage multiple assignments simultaneously. 5. Strong interpersonal skills, communication skills, and the ability to work effectively with faculty, staff, and research partners internally and externally. Preferred Education, Experience and Skills PhD degree preferred. Experience using and tuning various LLMs (e.g., GPT-4o, Claude, Llama, etc.) in various domains along with tailored models available through web portals (e.g., Hugging Face.) Experience teaching courses and workshops and/or consulting experience would be a plus.</p> <p>Principal Responsibilities</p> <ol> <li>User Training: Develop novel training methodologies and train and mentor users of the research core, providing guidance and expertise. 2. Experiment Support: Collaborate with interdisciplinary teams, faculty researchers, and external partners to address research challenges and drive innovation within the research core. 3. Facility/Instrument Support: Lead and manage complex research projects within the research core, providing expert scientific guidance and oversight. 4. Technique Development: Contribute to the development of research strategies and long-term planning for the research core and foster a culture of scientific excellence, mentorship, and professional development. 5. Data Analysis/Interpretation: Provide thought leadership in the field and contribute to the advancement of scientific knowledge through collaborations and partnerships. 6. Equipment Procurement: Lead the evaluation, acquisition, and maintenance of research core equipment. 7. Professional Development: Stay updated with emerging research trends and technologies, driving innovation within the research core. Engage in scientific leadership activities, including leading new core initiatives and representing the research core at conferences and events. 8. Scientific Participation: Actively participate in manuscript preparation and grant proposals, as applicable. 9, Staff Training and Mentoring: Foster a culture of scientific excellence, mentorship, and professional development. 10. Leadership: Collaborate with the university administration and faculty leadership on research core-related initiatives. 11. Finance and Admin: Collaborate with the Core Director in the development and implementation of strategic plans and budgets for the research core. 12. Vendor Relations: Shapes the overall vendor relations strategy, leads high-level negotiations, and collaborates with vendors on joint research initiatives. 13. Education and Outreach: Lead education and outreach activities within the core, including tours, events, etc. Required Education and Experience Master's Degree in a related discipline and eight years of related experience or an equivalent combination of skills, education, and experience </li></ol> <p>Background Check Requirements</p> <p>All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.</p> <p>Health Requirements</p> <p>Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.</p> <p>Posting Disclaimer</p> <p>Salary offers are determined by a candidate's qualifications, experience, skills, and education in relation to the position requirements, along with the role's grade profile and current internal and external market conditions.</p> <p>The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.</p> <p>The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.</p> <p>Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).</p> <p>Note</p> <p>Yale University is a tobacco-free campus.</p>