Senior Research Data Support Analyst, YSE

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Overview

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 a 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.

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.

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 research at the Yale School of Environment.

Design, build, and maintain scalable data pipelines, computational workflows, and AI/ML systems that support faculty, post-doc, and PhD student research. 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. 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.

Implement statistical methods for descriptive and causal designs and learn new research methods as needed. 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. Serve as a mentor and a resource. May perform other duties as assigned.

Required Skills & Abilities

1.Demonstrated 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

2. Ability to clearly communicate and document workflow.
3. Ability to work on multiple unrelated projects simultaneously.
4. Demonstrated interest in the environment, natural resources, or sustainable development.
5. Ability to lead teams and workflows and ability to mentor others.
 

Preferred Education and Experience
Master’s Degree in computer science, data engineering, statistics or related field and minimum 4 year’s experience.

Principal Responsibilities

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.

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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.