Senior Biostatistician

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Act as the statistical subject matter expert for the AACR Project GENIE.

• Provide guidance to investigators, collaborators, and project leadership regarding study design and analytical strategies.

• Work in partnership with investigators, pharmaceutical clients, and academic institutions to formulate observational studies utilizing real-world clinico-genomic data.

• Create statistical analysis plans and define study populations, cohorts, endpoints, and analytical methodologies.

• Offer statistical expertise for research protocols, study design, and publication planning.

• Conduct statistical programming and analyses utilizing R.

• Analyze results and contribute to manuscripts, abstracts, presentations, and consortium reports.

• Experiment with innovative analytic methods as required.

• Advise project leadership on statistical methodologies and study design.

• Ensure that analyses are reproducible, thoroughly documented, and comply with best practices.

• Collaborate with data managers, investigators, and pharmaceutical clients to evaluate data quality, completeness, and suitability for analysis.

• Independently manage the statistical components of multiple concurrent observational research studies from inception through analysis and publication.

• Perform additional duties as assigned.

⛳️ Requirements

• M.S. or Ph.D. in Biostatistics, Epidemiology, Statistics, or a related quantitative field.

• Over 5 years of post-graduate experience delivering comprehensive statistical support for observational research studies utilizing real-world data.

• Familiarity with electronic health records, cancer registries, genomic data, claims data, or other longitudinal clinical data sources.

• Experience in developing statistical analysis plans and contributing to the statistical sections of research protocols.

• Proficient in defining study cohorts, endpoints, and analytical methodologies for observational clinical research.

• Previous peer-reviewed publications as a statistical collaborator.

• High proficiency in R, including statistical programming, data manipulation, reproducible workflows, and high-quality analytical coding.

• Skilled in survival analysis, Kaplan-Meier estimation, competing risks, longitudinal analyses, regression modeling, propensity score methods, missing data techniques, and sensitivity analyses.

• Experience collaborating with clinicians, scientific investigators, and data management teams.

• Excellent relationship-building, communication, public speaking, and presentation skills.

• Capable of interpreting and conveying statistical findings to both technical and non-technical audiences.

• Strong strategic thinking and problem-solving skills, with experience managing complex and dynamic situations.

• Entrepreneurial mindset with the ability to conceive, implement, and convey innovative solutions.

• Self-motivated individual who takes initiative and balances overarching strategy with goal-oriented execution.

• Preferred: Proficiency in Python.

• Preferred: Experience with clinico-genomic oncology datasets.

• Preferred: Familiarity with REDCap or other EDC platforms.

• Strong preference for candidates with Git/GitHub experience.

🏝️ Benefits

• Comprehensive health insurance coverage.

• Opportunities for professional development and continuing education.

• Flexible work environment and a supportive team culture.

• Competitive salary and performance-based bonuses.

• Generous vacation and leave policies.