Role Summary
Biostatistics Study lead: As a Statistical Science Study Lead, the Senior Manager is responsible for leading and managing all Statistical Science-related activities for one or more studies of a comprehensive program to ensure high-quality deliverables are executed in line with agreed timelines.
Responsibilities
- Provide statistical leadership, as a member of cross-functional study team, during protocol development (study design, sample size justification, and safety/efficacy analysis methods) and throughout study duration
- Collaborate with key stakeholders on study design and develop statistical analysis plan
- Analyze and validate data to support study deliverables, including filings, reports, publications, and presentations
- Provide leadership and oversight for all Data Science deliverables for the study
- Chair, or select a delegate to chair, Data Science functional and cross-functional program teams (Statistical Analysis and Review Team) to ensure appropriate cross-functional collaboration, communication, and input into program deliverables and outcomes
- Communicate Statistical Science and/or Data Science guidance as a representative in cross-functional study teams
- Lead, and collaborate with others in Data Science, in the development of the statistical analysis plan for the study including endpoint definition, sample size justification and statistical methodology; lead the execution of statistical analysis activities as outlined in the SAP
- Collaborate with others in Data Science and cross-functional stakeholders on study design
- Develop or contribute to the development of study-related deliverables: study protocols, case report forms, data quality reviews and analyses, manuscripts, and sections of clinical study reports
- Contribute to and negotiate study timeline with cross-functional team; identify Statistical Science study resource needs to meet timeline
- Provide statistics area expertise to study team activities and deliverables
- Serve as the statistical expert for the study throughout the study lifecycle and ensure accuracy and reliability of statistical results
- Work with cross-functional study team members and statisticians to analyze and interpret clinical study data
- Identify and manage issues and risks and escalate as appropriate
- Keep abreast of literature/advancements in science/medicine/technology in own and related fields of the program
- Follow Statistical Science processes for study execution for all Statistical Science-related study deliverables
- Develop SOPs, WIs, guidelines, and templates
Qualifications
- PhD degree preferred, or MS in statistics, biostatistics or related discipline
- 3+ years clinical trial experience in pharmaceutical and/or biotech company with PhD; 6+ years with MS
- Experience with statistical analysis plans, study protocols, clinical study reports, integrated safety and efficacy narratives, Investigator Brochures, and annual reports; familiarity with electronic submissions (eCTD, NDA/BLA) and regulatory interactions
- Strong programming skills in SAS, R, and other statistical software packages
Education
- PhD preferred; or MS in statistics/biostatistics or related field
Skills
- Statistical leadership and cross-functional collaboration
- Study design and SAP development
- Data analysis, interpretation, and reporting
- Regulatory submission support and communication