Sr. Manager, Biostatistics Contractor
Job Description
The Senior Manager, Biostatistics acts as a statistical study lead; provides technical input and biostatistical support on the design and conduct of clinical studies; participates in the evaluation, interpretation, and reporting of study results; performs statistical analyses; and provides timely support to project teams on all statistical matters.
Responsibilities
- Lead study-level tasks, ensuring statistical integrity; contribute strategically to supporting projects from a statistical perspective.
- Contribute to study-level tasks, including study design, sample size determination, protocol statistics section, SAP, and DMC charter; review study randomization files; develop TFL shell and specifications; review CRFs and other study documents; actively participate in study-related meetings.
- Work collaboratively within biometrics teams and with cross-functional teams to meet product deliverables and timelines for statistical data analysis and reporting.
- Independently conduct analyses suggested by the data; propose new or novel statistical methodological approaches to improve the efficiency and sensitivity of study results.
- Contribute to developing standards and research in advanced statistical methodologies.
- Review regulatory documents or scientific publications.
Requirements
- PhD in Statistics or Biostatistics with a minimum of 3 years (or 6 years for Master's degree) of post-graduate experience in the clinical trials setting in the pharmaceutical industry.
- Experience in NDA/BLA/MAA activities from a statistical perspective and direct involvement in regulatory interactions are preferred.
- Experience as or capable of acting as a study lead statistician and contributing to strategy discussions in cross-functional settings.
- Experience in study-level work, including authoring SAP and TFL specifications.
- Familiarity with ICH guidelines, FDA, EMA, and other regulatory authority guidance.
- Solid understanding of mathematical and statistical principles.
- Detail-oriented with strong organizational, problem-solving, and prioritization skills; demonstrated ability to manage multiple tasks according to company timelines.
- Familiar with SAS and R; preferably with knowledge of CDISC standards, including SDTM, ADaM, and controlled terminologies.