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Director, Medical Affairs Biostatistics

Job description

Position Summary
An established healthcare organization is seeking a seasoned statistical leader to support post-approval research and evidence generation within its Medical Affairs function. This individual will play a critical role in ensuring the scientific rigor and quality of statistical input across observational studies, health technology submissions, and scientific publications. The role sits within a collaborative and evolving biometrics team focused on real-world data and post-marketing insights.

Key Responsibilities

  • Lead statistical strategy and execution for one or more therapeutic programs within Medical Affairs.

  • Serve as the primary statistical representative on cross-functional teams, ensuring robust analytical plans for post-approval studies and external dissemination of data.

  • Manage timelines, deliverables, and quality across internal and outsourced statistical analyses.

  • Apply and oversee advanced statistical methodologies for real-world and observational research, ensuring scientific validity and regulatory readiness.

  • Foster collaboration across data science, clinical, and medical functions to embed statistical thinking into key initiatives.

  • Support internal innovation and development through participation in broader departmental initiatives.

  • Mentor junior team members and provide subject matter expertise as needed.

Qualifications

  • Doctorate in Statistics, Biostatistics, or a related field, with 8+ years of relevant industry experience.

  • Comprehensive understanding of the drug development lifecycle, especially in the post-approval phase.

  • Proficient in designing and analyzing clinical research using tools such as SAS and R, with working knowledge of industry data standards (e.g., SDTM, ADaM).

  • Demonstrated experience with observational studies, real-world data analyses, and HTA dossier preparation.

  • Strong project leadership, communication, and cross-functional collaboration skills.

  • Ability to synthesize complex statistical ideas into actionable insights for diverse stakeholders.

  • Limited travel required (~10%); primarily remote with periodic in-person meetings.