Contractor, Biostatistician

Syndax Pharmaceuticals•New York, NY

8h•Remote

About The Position

We are seeking an experienced Contract Biostatistician to support Medical Affairs and Real‑World Evidence (RWE) activities. The role will provide statistical leadership in the design, analysis, and interpretation of RWE/observational studies, external comparator analyses, and evidence generation strategies to support post‑marketing, payer, and hypothesis generation analysis. This position requires close collaboration with cross-functional teams including Medical, HEOR, Clinical Development, and Commercial.

Requirements

M.S., Biostatistics or Ph.D. in Biostatistics or equivalent with at least 5 years of pharmaceutical, biotechnology, or equivalent experience.
Prior experience working with medical affairs and commercial
Good understanding of meta-analyses and causal inference methodologies
Familiarity with regulatory guidance on RWE and HTA requirements
Strong statistical reasoning and problem-solving
Ability to communicate complex methods to non-statistical stakeholders
High attention to data quality and methodological rigor
Ability to work independently in a fast-paced, cross-functional environment
Understand good clinical practice guidelines
Good statistical programming skills using relevant statistical software

Nice To Haves

Oncology experience preferred

Responsibilities

Partner with medical for publication strategies, HEOR or economic modeling inputs
Provide statistical expertise in analyses using external control and/or synthetic control, meta-analyses, and causal inference analyses, e.g. propensity score matching method
Contribute to manuscripts, abstracts and presentations
Collaborate with HEOR to align analyses with HTA agency expectations
Review protocols for real world evidence studies
Work with statistical programmers to conduct ad hoc analyses; Conduct quality review of statistical analyses
Perform statistical programming for advanced statistical methodologies and help statistical programmers QC their programs
Review relevant medical literature
Write statistical analysis plans
Develop TLF shells and review programming specs