Director, Quantitative Science and Biometrics – Evinova

WHY JOIN US?

Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone.

Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide.
 

At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment.
 

We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in-person teamwork, innovation, and meaningful connection.

About the Opportunity:

Are you ready to set new standards for how digital health measures capture what matters most to patients and clinicians? 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.

What You’ll Do:
 

As the Director, Quantitative Science and Biometrics, you will provide enterprise-level scientific leadership to make a positive impact on changing patients'

lives through the following:

• 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 workstreams

• 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 pr