Senior Scientist, Quantitative Science and Evidence - Evinova

Why Join Us?

Evinova is a health‑tech business within the AstraZeneca Group, accelerating better health outcomes by propelling the life sciences sector forward in digital health.

Through our science‑based expertise, evidence‑led rigour, and human insight, our digital solutions are deliberately designed so that everyone can reach better health outcomes together.

Digital health, the point at which healthcare, technology, data and analytics converge, holds phenomenal promise – with the World Health Organisation recognising it can improve health for everyone. At AstraZeneca, we have worked hard to embed digital health at scale across R&D, making it a top strategic priority to improve patient experience and outcomes.

We recognise the importance of flexibility, allowing employees to balance personal and work commitments while fostering collaboration in our office spaces designed for teamwork.

About the Opportunity

As a Senior Scientist within Evinova’s Endpoints team, you will be a subject matter expert in evidence generation, leading statistical programming to develop and validate existing and novel endpoints that demonstrate patient benefit for innovative medicines and digital health solutions.

You’ll apply quantitative clinical programming for exploratory analytics and psychometrics across biosensor / wearable data and clinical outcome assessments (COAs) to identify and evaluate symptoms, function, health‑related quality of life, and other patient‑centric concepts throughout the drug development lifecycle.

Working across Oncology, Cardiovascular, Renal & Metabolism, and Respiratory & Immunology, you will build scalable data programming workflows, contribute to robust analysis plans establishing clinical validity, and collaborate closely with Strategy, Data Science, COA Measurement, Product, Global and Clinical Study Teams, and external partners to uphold patient‑centricity, diversity, sustainability, and scientific rigor.

Accountabilities

• Contribute to workstreams by programming psychometrics, clinometrics and statistics to generate evidence of patients’ experience with treatment throughout the drug development lifecycle.
• Contribute to workstreams on clinical data flow and management.
• Conduct and interpret psychometric, clinometric and statistical analyses for the validation of novel endpoints leveraging data from COAs including sensors and wearables.
• Establish product‑level clinical data management practices and structure, including data flow and standardisation.
• With supervision, prepare, review and publish data and ensure that clinical validation findings are communicated effectively in scientific reports, internal and conference presentations, publications and regulatory dossiers.

Qualifications

Skills and Experience

Desirable for the Role

So, What’s Next?

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience; this is the only way for our recruiters to see you are well qualified. If you know someone who would be a great fit, please share this posting with them.

Where can I find out more?

Salary and Benefits

Annual base salary for this position ranges from $105,000 to $136,500. Compensation policies allow progression within this range over time. Variable Pay Bonus / Short Term Incentive and eligibility for equity‑based long‑term incentive programs (if applicable) are available, along with a competitive Flex Benefits & Retirement Savings Program, 4 weeks paid vacation, and annual Personal Days.

Date Posted

14-Jan-2026

Closing Date

29-Jan-2026

EEO Statement

AstraZeneca is an equal opportunity employer committed to diversity and inclusion and providing a workplace free from discrimination. AstraZeneca accommodates persons with disabilities; accommodations can be requested by emailing AZCHumanResources@astrazeneca.com.

We are using AI as part of the recruitment process.

This advertisement relates to a current vacancy.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team, welcoming and considering applications from all qualified candidates.

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