Senior Statistician, Research & Development
New
J
JobgetherBiotechnology
Remote work opportunity within the United States.Full-TimeSenior
Salary$107,000–$164,000 USD
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonR
Requirements
- MS or PhD in Statistics, Biostatistics, Pharmacometrics, or a related quantitative field.
- 8+ years of relevant statistical experience, with a demonstrated ability to independently manage a preclinical or translational statistics portfolio.
- Hands-on experience with population PK/PD modeling using tools such as WinNonLin, NONMEM, nlmixr2, Monolix, or equivalent platforms.
- Strong knowledge of nonlinear mixed-effects modeling and exposure-response analysis.
- Demonstrated experience in experimental design, survival analysis, longitudinal analysis, and post-hoc statistical analysis.
- Proven ability to perform exploratory, hypothesis-generating analyses and work effectively with ambiguous data.
- Strong critical thinking skills, including the confidence to challenge poorly defined endpoints, targets, or analytical assumptions.
- Exceptional attention to detail and the ability to work within regulatory requirements and quality standards.
- Fluency in R and/or Python, with experience using R Markdown, Quarto, Jupyter, or similar tools for reproducible reporting.
- Familiarity with AI-assisted tools and workflows, such as Claude Code.
Responsibilities
- Independently lead statistical design and analysis for preclinical studies, including dose-response, mortality projection, aging biomarker, enrollment, attrition, and survival modeling.
- Build and apply population PK/PD models, including nonlinear mixed-effects and exposure-response models, to support dose justification and formulation decisions.
- Conduct exploratory and hypothesis-generating analyses for endpoint development, target discovery, and pathway identification.
- Serve as the statistical point of contact for preclinical studies and cross-functional R&D programs, partnering directly with scientists and program leads.
- Develop and contribute to reproducible statistical reporting and internal documentation using tools such as Quarto and R Markdown.
- Support clinical biostatistics activities, including statistical analysis plan development and regulatory strategy discussions.
- Mentor junior statisticians and contribute to the development of statistical capabilities across the team.
- Peer-review methodologies from external consultants, manuscripts, and cross-functional deliverables to ensure statistical rigor.
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