AstraZeneca

Director, Quantitative Science and Biometrics - Evinova

AstraZeneca$130K — $180K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Doctoral degree in a relevant field or Master's degree with substantial experience
  • 5-7 years of experience in pharmaceutical, digital health, or healthcare settings
  • Deep expertise in psychometric evaluation and clinical trial endpoints
  • Strong programming skills in languages such as Python, R, SAS, or SQL
  • Proven ability to lead teams and mentor scientists in a complex environment
  • Exceptional communication and stakeholder engagement skills
  • Experience with digital health platforms and real-world evidence integration

Responsibilities

  • Lead the strategy for quantitative evidence generation across product lifecycle
  • Design frameworks to address evidence gaps across multiple programs
  • Influence cross-functional stakeholders on endpoint strategy and evidence positioning
  • Serve as authority on Patient-Reported Outcomes and measure selection
  • Shape real-world evidence initiatives leveraging population health data
  • Provide mentorship and oversight to scientific teams
  • Oversee statistical analyses for novel endpoint validation
  • Prepare scientific reports, publications, and regulatory documentation

Benefits

  • Opportunity to impact patient lives through improved clinical outcomes
  • Work within a multidisciplinary team of experts
  • Engage with cross-functional stakeholders in a dynamic setting
  • Lead the integration of AI and digital health tools
  • Contribute to business development and scientific credibility
  • Professional development through mentorship opportunities
  • Visibility in external scientific forums and industry partnerships
Full Job Description
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 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


Essential Skills and Experience:
  • Demonstrated strategic leadership in PRO, outcomes research, real-world evidence, or quantitative evidence generation across the product lifecycle (development through commercialization)
  • 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 clinical or population health contexts
  • Proven ability to lead teams, mentor scientists, and manage a portfolio of concurrent activities in a fast-paced, matrixed environment
  • Strong working knowledge of drug development and the regulatory landscape governing research with human subjects
  • Exceptional communication and stakeholder engagement skills, with demonstrated ability to influence strategically and build relationships across organisational levels
  • Experience in scientific communication, including publications, conference presentations, and regulatory submissions
  • Creative, innovative, and solution-focused with the ability to navigate ambiguity, challenge the status quo, and drive accountability

Education
  • Doctoral degree (e.g., PhD, ScD, DrPH) in a relevant field such as Population Health Sciences, Statistics, Biostatistics, Psychology, Testing and Measurement, Epidemiology, Pharmaceutical Sciences, Neuroscience, or other quantitative-related fields, plus five or more years of relevant and progressive experience in pharmaceutical, digital health, consulting, or healthcare settings

OR:
  • Master's degree in a related field, plus eight or more years of progressive practical experience


Desirable for the role:
  • Oncology experience - familiarity with oncology clinical development, endpoints, or evidence strategy
  • Experience in business development, proposal creation, or client-facing strategic engagement
  • Background spanning multiple settings (e.g., pharmaceutical, digital health/health-tech, consulting, and/or healthcare
  • provider environments)
  • Experience with population health analytics, comparative effectiveness research, or health economic modelling
  • Understanding of novel digital development frameworks and regulatory considerations for digital endpoints
  • Track record of thought leadership - publications, conference presentations, or industry working group participation
  • Experience scaling digital health or ePRO programs across large organisations
  • Resilience and adaptability - ability to motivate and lead others through change in a dynamic environment


SO, WHAT'S NEXT?

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience - it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.

Where can I find out more?
  • Explore what we're building: www.evinova.com
  • Stay connected and see our impact in action: https://www.linkedin.com/company/evinova/


Apply today to bring smarter, faster clinical trials to life!

Date Posted
15-Jun-2026

Closing Date
21-Jun-2026

About AstraZeneca

AstraZeneca is a British-Swedish multinational pharmaceutical company that specializes in the research, development, and manufacturing of prescription drugs. The company was formed in 1999 through the merger of Astra AB and Zeneca Group plc. AstraZeneca's products are used to treat a wide range of medical conditions, including cancer, cardiovascular disease, respiratory disease, and diabetes. The company has operations in over 100 countries and employs more than 76,000 people worldwide. AstraZeneca is committed to developing innovative medicines that improve the health and well-being of people around the world.
Learn more about AstraZeneca
Size
83,100 employees
Market Cap
$211.5 billion
Industry
Net Income
$3.1 billion
Founded
1999
5 Year Trend
+10.2%
Revenue
$26.6 billion
NASDAQ

Similar Jobs

More Jobs at AstraZeneca

More Pharmaceuticals & Biotech Jobs

Find similar Director, Quantitative Science and Biometrics - Evinova jobs: