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 health and drug policies, focusing on opioid misuse and firearm violence. The role involves leading analytic strategies, managing complex datasets, and collaborating with research teams to ensure rigorous data analysis and communication.
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
- 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
- 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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