Data Scientist

Piper Companies is seeking a Data Scientist to join a growing healthcare analytics and life sciences consulting organization for a hybrid permanent position based out of Durham, NC
. The Data Scientist will support observational research initiatives by transforming complex healthcare data into research-ready datasets, executing statistical analyses, and contributing to the development of reproducible analytical workflows that support evidence generation and healthcare decision-making.

• Develop and maintain scalable R-based analytical pipelines that convert healthcare claims and EHR data into research-ready datasets for observational studies.
• Query and manipulate large relational databases using SQL and R-based tools while applying study-specific inclusion, exclusion, and follow-up criteria.
• Execute statistical analyses, perform model diagnostics, and assist with causal inference and comparative effectiveness research projects.
• Generate tables, figures, and research outputs for client-facing reports and scientific deliverables.
• Participate in code reviews, quality control processes, and cross-functional collaboration with statisticians, epidemiologists, and other research stakeholders.

• Master's degree in Data Science, Biostatistics, Epidemiology, Health Economics, Bioinformatics, or a related quantitative discipline; equivalent professional experience considered.
• Strong proficiency with R programming and experience developing clean, reproducible, and well-documented code.
• Experience working with relational databases and writing SQL queries or leveraging database interfaces such such as dbplyr.
• Ability to communicate technical findings effectively and collaborate within multidisciplinary scientific teams.
• Experience with healthcare datasets, longitudinal research, real-world evidence, or observational studies is highly preferred.

Salary Range: $115,000-$135,000/year (USD)

Comprehensive Benefits:
Medical, Dental, Vision, Paid Time Off, Paid Parental Leave, 401(k) with company match, and additional employee benefits.

, R programming, SQL, dbplyr, epidemiology, biostatistics, observational research, comparative effectiveness, causal inference, healthcare data, electronic health records, EHR, claims data, longitudinal data, statistical modeling, analytics pipeline, data engineering, reproducible research, Git Lab, data visualization, reporting, healthcare outcomes, health economics, regulatory research, patient cohorts, propensity scores, quality control, life sciences, data management, healthcare research, statistical analysis, clinical analytics, database querying, research methods, predictive analytics, evidence generation.

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