
Director, Biostatistics
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Oversee product and indication level responsibilities, including regulatory communications and submissions, while ensuring statistical validity; strategically support related projects from a statistical standpoint.
• Contribute to study-specific tasks from a statistical viewpoint, such as study design and determining sample sizes; author or review the statistical sections of the protocol, SAP, and DMC charter; create and review study randomization files; develop TFL shells and specifications; review CRFs and other study documents; actively participate in study-related meetings.
• Collaborate effectively within biometrics teams and across different functions to achieve product objectives and timelines for statistical data analysis and reporting.
• Maintain the statistical integrity of deliverables; provide sound scientific methodology to fulfill project goals and comply with regulatory statistical and data standards.
• Independently perform analyses based on data; propose innovative statistical methodologies to enhance the efficiency and sensitivity of study outcomes.
• Assist in establishing standards and conducting research in advanced statistical methodologies.
• Author or review regulatory documents and scientific publications.
• Provide mentorship to junior team members.
• PhD in Statistics or Biostatistics with a minimum of 8 years of post-graduate experience in clinical trials within the pharmaceutical sector (minimum of 11 years for those with a Master’s degree).
• Proven experience in NDA, BLA, and MAA activities as a key statistical contributor, with direct involvement in regulatory interactions.
• Experienced as the lead statistician on products, contributing to strategic discussions in cross-functional environments; adept at managing multiple products and studies while prioritizing effectively.
• Familiarity with study-level tasks, including the authorship of SAP and TFL specifications.
• Knowledgeable in ICH guidelines and guidance from FDA, EMA, and other regulatory bodies.
• Strong understanding of mathematical and statistical principles; prior experience with statistical methods for analyzing longitudinal data is preferred.
• Detail-oriented with strong organizational, problem-solving, and prioritization skills; demonstrated capability to manage and complete multiple tasks within company timelines.
• Proficient in SAS and R, with a preference for knowledge of CDISC standards, including SDTM, ADaM, and controlled terminologies.
• Generous vacation time and public holidays observed by the company.
• Volunteer days.
• Long-term incentives and employee stock purchase plans or equivalent offerings.
• Employee wellbeing benefits.
• Fitness reimbursement.
• Tuition sponsorship.
• Professional development plans.
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