Senior Research Data Support Analyst, YSE at Yale in New Haven, CT

Senior Research Data Support Analyst, YSE Location: Sage-Bowers Hall 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! Serve as a senior technical resource for data-intensive research across the Yale School of the Environment. Lead the design and deployment of scalable data systems, software tools, and computational workflows with consultative support to faculty and research groups. Act as liaison between researchers and university technical organizations providing storage, compute, cloud, and AI services. Yale is developing at rich computational research support environment. The successful candidate with collaborate with other data and computational research support professionals across campus, including but not limited to the Yale Center for Research Computing (YCRC), The library and statistics lab, Data intensive Social Science Center (DISSC), The Geospatial Data Research Center, and The Digital Humanities Lab. There are also opportunities to interact with Yale’s world class computer science and statistics and data science faculty and students. This position offers the opportunity to address important environmental and sustainable challenges and make a positive impact on the world. This position will report to the senior associate dean or assistant dean for re search at the Yale School of Environment. Principal Responsibilities: 1.Design, build, and maintain scalable data pipelines, computational workflows, and AI/ML systems that support faculty, post-doc, and PhD student research. 2.Consult with faculty and their post-docs and graduate students on project scope, data architecture, and computational strategies. Discuss technical and university requirements and recommend approaches. 3.Develop and deploy AI/ML models and tools such as LLM agents, computer vision pipelines, and predictive/forecasting systems aligned with environmental science and sustainability. 4.Implement statistical methods for descriptive and causal designs and learn new research methods as needed 5.Work with procurement and legal teams to assist researchers to locate and acquire more complex data resources. Serve as a resource to the university on improving these processes as needs arise. 6.Serve as a mentor and a resource. 7.May perform other duties as assigned. Skills & Abilities: 1. Ability to clearly communicate and document workflow. 2. Ability to work on multiple unrelated projects simultaneously. 3. Demonstrated interest in the environment, natural resources, or sustainable development. 4. Ability to lead teams and workflows 5. Ability to mentor others. The successful candidate will have strong software engineering fundamentals in Python; working proficiency in at least one of R or SQL. Experience designing and deploying data pipelines and computational workflows in research environments. Experience with Linux operating systems, HPC, job scheduling, and distributed computing. Experience with machine learning & AI model development, evaluation, optimization, and deployment. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience managing large-scale datasets, including out-of-core processing and columnar formats (Parquet, Arrow). Proficiency with version control (Git/GitHub) and collaborative development workflows. Familiarity with containerization (Docker, Apptainer) and reproducible research environments. Experience working with a wide range of backgrounds and approaches. Preferred Education and Experience: Master’s Degree in computer science, data engineering, statistics or related field and minimum 4 year’s experience. Principal Responsibilities 1. Consult to faculty and researchers regarding their projects and needs related to data infrastructure and processes. Discuss suggested project designs solutions and develop requirements for new university needs and capacities, where needed. 2. Work with procurement and legal teams to assist researchers to locate and acquire more complex data resources. Serve as resource to university on improving these processes as needs arise. 3.   Design plans and protocols for maintenance and management of data through all phases of research lifecycle; review progress and assure accuracy and compliance of data being acquired and stored. 4. Provide technical support and computing assistance to faculty and researchers in the university’s social science departments and schools. 4b. Investigate new computing technologies (in areas such as hardware, software, and networking, depending on the candidate's interests and expertise). 5. Implement statistical methods for descriptive and causal designs and learn new research methods as needed. 6. Develop technical solutions for archiving and dissemination solutions for research across disciplines. 7. Serve as mentor and resource to less experienced members of team. 8. May perform other duties as assigned. Required Education and Experience Bachelor's Degree in a related field and minimum of 7 years of related experience in academic or scientific research support or an equivalent combination of education and experience. Job Posting Date 05/05/2026 Job Category Professional Bargaining Unit NON Compensation Grade Administration & Operations Compensation Grade Profile Senior Manager; Senior Program Leader (P6) Salary Range $90,000.00 - $165,750.00 Time Type Part time Duration Type Temporary / Casual (Fixed Term) Work Model Remote 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 basedon 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 throughtheir 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.