Contractor, Biostatistician
Position Description:
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.
Responsibilities and Duties:
• 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
Minimum Requirements:
Experience:
• M.S., Biostatistics or Ph.D. in Biostatistics or equivalent with at least 5 years of pharmaceutical, biotechnology, or equivalent experience.
Other:
• 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
• Oncology experience preferred
Location: Syndax’s corporate office is in New York, NY.
This is a remote opportunity.
About Syndax:
Syndax Pharmaceuticals is a commercial-stage biopharmaceutical company advancing innovative cancer therapies. Highlights of the Company’s pipeline include a menin inhibitor for R/R acute leukemia and a monoclonal antibody that blocks the CSF-1 receptor for chronic graft-versus-host disease. Fueled by our commitment to reimagining cancer care, Syndax is working to unlock the full potential of its pipeline and is conducting several clinical trials across the continuum of treatment. For more information, please visit www.syndax.com/ or follow the Company on X and LinkedIn.
Syndax Pharmaceuticals is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.
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.
Responsibilities and Duties:
• 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
Minimum Requirements:
Experience:
• M.S., Biostatistics or Ph.D. in Biostatistics or equivalent with at least 5 years of pharmaceutical, biotechnology, or equivalent experience.
Other:
• 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
• Oncology experience preferred
Location: Syndax’s corporate office is in New York, NY.
This is a remote opportunity.
About Syndax:
Syndax Pharmaceuticals is a commercial-stage biopharmaceutical company advancing innovative cancer therapies. Highlights of the Company’s pipeline include a menin inhibitor for R/R acute leukemia and a monoclonal antibody that blocks the CSF-1 receptor for chronic graft-versus-host disease. Fueled by our commitment to reimagining cancer care, Syndax is working to unlock the full potential of its pipeline and is conducting several clinical trials across the continuum of treatment. For more information, please visit www.syndax.com/ or follow the Company on X and LinkedIn.
Syndax Pharmaceuticals is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.