Title: Computational Social Scientist Location: Sterling Mem Library Job Description: Full time job requisition id 136003WD 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! Overview Reporting to the Associate Director, Computational Methods and Data, within the department of Data and Research Innovation, the Computational Social Scientist leads the library’s support for computationally enabled social science research. This includes providing research consultations and designing and delivering instruction to students, faculty, and staff. The Computational Social Scientist may also develop and support research workflows, analytical approaches, and technology solutions in response to continual assessment of researcher needs and identification of emerging trends in computational social science. The incumbent will participate in the development of a research and learning service model for data-intensive and computational social science research across disciplines based on current research practices, grounded in student and faculty academic needs, and aligned to Yale Library strategies. The incumbent will collaborate with other members of Data and Research Innovation to provide research support across the research data lifecycle and contribute to the development of innovative researcher and practitioner support programs, including novel approaches to research consultations, methodological community-building, research data support, reproducible research practices, responsible use of sensitive data, specialized instruction and outreach, and other research support activities. Activities are offered across multiple library locations, but primarily occur at the Franke Family Digital Humanities Lab, Rosenkranz Hall, and Marx Science and Social Science Library. Yale Library serves a diverse staff, campus, local, and global community and is deeply committed to advancing its goals for equity, inclusion, and accessibility. This commitment is reflected in our mission, strategic directions, staff values, initiatives, and scholarly activity. To support our goals for staff recruitment, retention, and development, Yale Library invites applications from candidates whose philosophies align with these commitments and who have demonstrated success with supporting diversity and inclusion through their work, service, research, and/or teaching. Required Skills and Abilities 1. Demonstrated understanding of computational approaches to social science research, including linking research questions to appropriate data and methods. 2. Demonstrated proficiency with advanced quantitative data analysis, methodology and related software (such as R, Python, Stata, etc.) in an academic setting. 3. Demonstrated ability learning new methods and tools quickly, with reference to both scholarly literature and accepted practice. 4. Demonstrated written and verbal communication skills, including conveying technical and methodological subjects to non-technical audiences. Demonstrated experience offering instruction on a technical or methodological subject, especially one-off or workshop instruction. 5. Demonstrated experience collaborating within and across organizations. Knowledge of and experience with relational databases. Demonstrated ability with survey design and related tools (such as Qualtrics or Survey Monkey). Preferred Skills and Abilities 1. Experience with using or supporting high-performance computing (HPC) and cloud compute (AWS, Azure, etc.). Experience with experimental design, statistical analysis, and quantitative data analysis. 2. Experience with data visualization tools/languages (Tableau, leaflet, D3). Experience using or advising on the use of AI coding tools or agentic AI to support research code. Strong understanding of metadata standards and demonstrated experience writing code 3. Knowledge of and experience with GIS and/or data management. Demonstrated experience developing asynchronous learning materials such as tutorials, video tutorials, or written guides. 4. Demonstrated experience working with restricted or sensitive data (eg. human subjects data) and/or familiarity with research ethics, privacy, and governance considerations. 5. Demonstrated experience providing instruction or research support in an academic research library setting. Principal Responsibilities 1. Conduct targeted outreach to faculty, students, and research staff to identify emerging needs in computational social science and connect them with relevant resources, datasets, and methods. 2. Provide expert guidance on computational social science methods and workflows, including research design, data acquisition, data management, and analysis for social scientific questions. 3. In collaboration with other members of Data and Research Innovation, advise researchers on reproducible and responsible research practices, including documentation, version control, privacy-aware workflows, and appropriate use of sensitive or human-subjects data in consultation with Yale’s HRPP. 4. Design and deliver workshops, tutorials, and instructional sessions on computational social science topics, including working with digital trace data, computational approaches to political speech, graph analysis, automated de-identification, and more. 5. Create accessible learning materials such as written guides, tutorials, and interactive modules for independent learning on computational social science methods and tools. 6. Contribute to the development and documentation of research support infrastructure, including shared analytic workflows, templates, and guidance for managing and analyzing social science data in collaboration with library and IT staff. 7. Facilitate partnerships across departments and research centers and participate in cross-institutional communities of practice related to computational social science. 8. Stay current with methodological and tool developments (eg. new approaches in NLP, LLM-assisted analysis, platform/API changes, and best practices for responsible data use) and translate complex concepts into accessible formats for diverse audiences, including library staff. Required Education and Experience 1. PhD in the social sciences, or master’s degree in the social sciences and four years of experience in an academic environment, or equivalent combination of education and experience. Job Posting Date 06/16/2026 Job Category Professional Bargaining Unit NON Compensation Grade Administration & Operations Compensation Grade Profile Manager; Program Leader (26) Salary Range $92,000.00 - $146,750.00 Time Type Full time Duration Type Staff Work Model Hybrid Background Check Requirements 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. Health Requirements 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. Posting Disclaimer 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. 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. 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. Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA). Note Yale University is a tobacco-free campus.

Role Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. As a Field Applications Scientist, you will provide technical support and training for our Olink proteomics product portfolio. You'll serve as a scientific advisor, helping customers optimize their workflows and maximize the value of their investments while contributing to our mission of making the world healthier, cleaner, and safer. This is a remote role based in the Boston, MA area. Please note that relocation assistance is not provided for this position. A Day in the Life: - Provide technical support and training for the Olink proteomics product portfolio - Collaborate with sales teams and customers to deliver product demonstrations and applications support and training that enables research and innovation - Deliver both pre- and post-sales technical expertise across multiple technology platforms - Develop new applications and troubleshoot complex technical issues - Build and maintain strong relationships with customers and internal stakeholders - Partner cross-functionally with sales, marketing, R&D, and product management teams to ensure customer success and drive business growth through technical excellence. Qualifications - Bachelor’s degree in Chemistry, Biochemistry, Molecular Biology, or related field with 5+ years of relevant experience; Advanced degree with 3+ years of relevant experience - Demonstrated expertise in method development and technical problem-solving - Clear written and verbal communication skills with ability to explain complex concepts to diverse audiences - Strong presentation and training capabilities for both technical and non-technical audiences - Ability to work independently and collaboratively in a results-oriented environment - Experience in project management and ability to handle multiple priorities - Customer service orientation and interpersonal skills - Ability to build and maintain effective relationships with internal teams and external customers - Willingness to travel up to 25-50% Requirements - Must be legally authorized to work in the United States without sponsorship now or in the future - Must be able to pass a comprehensive background check and drug screen Benefits - The salary range estimated for this position based in Massachusetts is $83,300.00–$130,000.00. - This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. - A choice of national medical and dental plans, and a national vision plan, including health incentive programs - Employee assistance and family support programs, including commuter benefits and tuition reimbursement - At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy - Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan - Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

• Provide day-to-day leadership of the Consortium to Advance Police Supervision (CAPS) • Build and maintain strong relationships with police agencies, professional associations, national partners, and other stakeholders • Work directly with first-line supervisors and agency leaders to identify emerging needs, inform research and product development • Lead and collaborate on research and evaluation projects related to police supervision, organizational practices, and public safety issues • Develop and deliver presentations, training, technical assistance for practitioner audiences

• Conducts research experiments and assays. • Evaluates research results, reports findings and discusses project outcomes with staff involved. • Performs data entry and maintains data files on research. • Coordinates tissue cultures, reagents, probe tests, etc. • Complies with established safety procedures and maintains required documentation on laboratory and specimen conditions. • Coordinates research project with other institutions and investigators. • Participates in developing hypotheses to be tested and ways of testing it. • Assists with general supply/equipment orders, lab maintenance and cleaning. • Performs literature research on specified topics. • Performs other duties as assigned.