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An established healthcare organization is on the lookout for a seasoned statistical leader to join its innovative Medical Affairs team. This role is pivotal in ensuring the scientific rigor of statistical input across various studies and publications. As part of a collaborative biometrics team, you will lead statistical strategies for therapeutic programs, manage complex analyses, and mentor junior members. This position offers a unique opportunity to influence real-world data initiatives while working primarily in a remote capacity with occasional in-person meetings. If you have a passion for statistical excellence and want to make a significant impact in healthcare, this role is for you.
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.