Senior Biostatistician

Responsibilities

• Consult with investigators on study design, hypothesis development, endpoint selection, and sample size and power calculations.
• Write statistical sections of grant proposals (NIH, PCORI, AHRQ, DoD, foundation, and industry), including analysis plans and power justifications.
• Contribute to protocol development, statistical analysis plans (SAPs), and IRB submissions.
• Provide input on randomization schemes, adaptive designs, and pragmatic and stepped-wedge trial designs.
• Perform statistical analyses for prospective and retrospective studies using appropriate methods, including regression modeling, survival analysis, mixed-effects and longitudinal models, propensity score methods, and causal inference approaches.
• Analyze data from clinical registries and large databases (e.g., NSQIP, NCDB, SEER, institutional EHR data, and administrative claims).
• Work with data engineers and research informatics teams to extract, clean, validate, and curate datasets from the electronic health record and REDCap.
• Maintain reproducible, well-documented code and analysis workflows with version control.
• Serve as the study statistician for investigator-initiated trials, including preparing interim and final analyses.
• Ensure analyses comply with applicable regulatory and institutional standards (ICH-GCP, FDA guidance, HIPAA).
• Draft the methods and results sections of manuscripts, abstracts, and presentations, and respond to statistical reviewer comments.
• Create clear tables, figures, and visualizations for publication and presentation.
• Co-author peer-reviewed publications and qualify for authorship in accordance with ICMJE criteria.
• Lead or contribute to departmental research workshops, journal clubs, and methods seminars.
• Collaborate with the institution's biostatistics, epidemiology, and data science cores.

Minimum Qualifications

Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.

Preferred Qualifications

Education: Master's degree in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field. Experience: Demonstrated proficiency in R and/or SAS; working knowledge of Stata or Python is a plus. Strong foundation in regression, survival analysis, and longitudinal data analysis. Experience with reproducible research practices (e.g., R Markdown, Git). Excellent written and verbal communication skills, with the ability to explain statistical concepts to clinicians and non-statisticians.