Director, Quantitative Science and Biometrics – Evinova

About the Opportunity

In this Director role, you will lead the strategy and execution of patient‑centric measurement science—advancing clinical outcomes assessments and digital endpoints that shape decisions across oncology development. Your work will help define benefit–risk with clarity and speed, so more patients get effective treatments sooner. You will connect science‑based rigor with human‑centered design to build evidence that regulators, payers, sites, and patients trust.

As part of a multidisciplinary team spanning product, clinical, data science, and regulatory, you will transform qualitative and quantitative insights into robust measures that improve trial design, enhance patient experience, and inform pivotal filings. The impact of your leadership will be visible in how we define, collect, and apply evidence to guide oncology decisions worldwide.

• Strategic leadership: Own and drive the overarching strategy for quantitative evidence generation across therapeutic areas and the full product lifecycle— from clinical development through commercialization and market access.
• Evidence framework development: Design and establish scalable frameworks and analytic approaches that address evidence gaps across multiple programs simultaneously.
• Cross‑functional influence: Lead and influence cross‑functional stakeholders—including Clinical Development, Medical Affairs, Market Access, Commercial, and Regulatory teams—to refine endpoint strategy, comparator selection, and evidence positioning.
• PRO and COA expertise: Serve as the enterprise authority on Patient‑Reported Outcomes strategy, psychometric/clinimetric evaluation, measure selection, and clinical integration across pivotal and post‑marketing studies.
• Real‑world evidence integration: Shape real‑world evidence initiatives that support regulatory, payer, and market access strategies, leveraging population health data and digital health platforms.
• Team leadership and mentorship: Provide scientific mentorship and oversight to Associate Directors and Scientists, building team capability and ensuring delivery excellence across concurrent work streams.
• Analytic delivery oversight: Oversee the conduct, interpretation, and communication of psychometric, clinimetric, and statistical analyses for the validation of novel endpoints leveraging COA data, sensor/wearable data, and hybrid sources in clinical trials.
• Scientific communication: Lead the preparation, review, and publication of evidence, ensuring clinical validation findings are communicated effectively in scientific reports, conference presentations, peer‑reviewed publications, and regulatory dossiers.
• AI and automation strategy: Set direction for integrating AI‑enabled analytics into quantitative workflows to enhance efficiency, scalability, and rigour of evidence generation at enterprise scale.
• Digital product contribution: Lead the design and refinement of AI‑powered decision‑support tools within Evinova's digital health products, enabling external clients to optimise clinical trial execution and derive deeper insights from COA and sensor‑based data.
• Business development and thought leadership: Contribute to business development activities, proposal creation, and external thought leadership that advances Evinova's scientific credibility and market position.
• Stakeholder engagement: Represent Evinova in external scientific forums, regulatory interactions, and industry partnerships.

• Demonstrated strategic leadership in PRO, outcomes research, real‑world evidence, or quantitative evidence generation across the product lifecycle.
• Deep expertise in psychometric evaluation, COA validation, endpoint strategy, and measure selection for clinical trials and longitudinal studies.
• Experience influencing cross‑functional decision‑making across Clinical Development, Medical Affairs, Market Access, and Commercial functions.
• Programming and visualization proficiency using Python, R, SAS, SQL, or similar tools (hands‑on working knowledge; able to lead, support, and interpret analyses).
• Experience with digital health platforms, ePRO systems, and/or sensor/wearable‑derived data in…