Note: The job is a remote job and is open to candidates in USA. Yale University is seeking a Senior Data Scientist to conduct grant-funded research on the impacts of health and drug policies. This role involves leading research projects, managing data, and developing analytic strategies while collaborating with faculty and research teams.
Responsibilities
- Lead and supervise all data- and analytic matters for at least two research projects at a time
- Lead and supervise the creation and maintenance of a data repository for a future research centre
- Lead the development of comprehensive analytic plans that align with study aims, research questions, and methodological best practices
- Acquisition and preparation of core datasets for analysis, such as mortality data, hospital data, pharmacy data, survey data, legal data, and population data
- Manage data lifecycle processes—acquisition, storage, access control, preservation, and archiving—in accordance with Yale policies, IRB requirements, and federal regulations
- Analysis of research data using descriptive statistics, visualization, mapping, and advanced statistical methods including Bayesian hierarchical regression, advanced difference-in-difference techniques for causal inference, synthetic control methods, time-series methods, and cohort analyses
- Prepare analytic outputs, tables, figures, and methodological documentation for peer‑reviewed scientific publications and grant reports
- Oversight of expert panel, survey design and analysis for policy taxonomy development
- Provide project management for grant‑funded research activities, ensuring adherence to timelines, study protocols, deliverables, and reporting requirements
- Coordinate with multi‑site research partners to ensure consistent data standards, analytic approaches, and communication across institutions
- Contribute to proposal development, progress reports, and dissemination of findings to funding agencies and academic audiences
- Supervise junior research staff, providing technical guidance, performance feedback, and professional development support
- Offer consultation and mentorship to graduate students and postdoctoral fellows engaged in data‑intensive research projects
- Develop and deliver workshops, training materials, and documentation to enhance data literacy and promote best practices across the research community
Skills
- 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
- Demonstrated expertise in research data management, advanced statistical analysis, and analytic workflow development
- Proficiency with statistical and programming tools such as R, Python, SQL, SAS, or comparable platforms
- Strong understanding of data privacy, security frameworks, and regulatory compliance (e.g., HIPAA, IRB, FERPA). Knowledge of core health datasets such as vital records, hospital discharge data, and claims data
- Excellent communication skills, with the ability to translate complex analytic concepts for diverse audiences
- Proven ability to manage multiple projects, work independently, and collaborate effectively in a fast‑paced academic research environment
Benefits
- Remote
- 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
- 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
- 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
- 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
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