AD Science AI - AZNJP00030497

TN United Kingdom; Cambridge; Remote; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking an Associate Director in AI Science to lead innovative statistical modelling efforts. This role focuses on enhancing patient outcomes through rigorous analysis of clinical trial data, particularly in the oncology therapy area. The ideal candidate will have extensive experience in statistical modelling and a strong foundation in applied statistics, particularly regression approaches. Join a dynamic team dedicated to making a meaningful impact in medicine and society, where your expertise will help shape the future of healthcare. This is a fantastic opportunity for those passionate about data science and its application in the pharmaceutical sector.

Qualifications

• 5+ years of experience in statistical modelling within the pharmaceutical industry.
• Strong knowledge of regression modelling and R software implementation.

Responsibilities

• Plan and develop statistical models for patient outcomes based on clinical trial data.
• Translate quantitative analysis results into business recommendations.

Skills

Statistical Modelling

R Software

Regression Modelling

Pharmaceutical Experience

Customer Engagement

Education

MSc in Mathematics

MSc in Computer Science

MSc in Biostatistics

MSc in Engineering

Tools

Data Science Tools

Job description

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AD Science AI - AZNJP00030497, Cambridge

Client:

Location:

Cambridge, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

f9d4d5631af5

Job Views:

5

Posted:

05.05.2025

Expiry Date:

19.06.2025

Job Description:

Title: Associate Director AI Science

Location: Cambridge Disc - 100% Remote

Duration of Contract: 6 Months (Interim); likely to extend

Days/Hours: 5 days – hours (UMB/PAYE) OR 40 hours (LTD)

IR35 Determination: OUTSIDE

Make a more meaningful impact on patients’ lives around the globe! In this role, you will plan, design, and develop statistical models for patient outcomes based on clinical trial data, either for specific adverse events or for efficacy data. The candidate needs a strong knowledge of applied statistics, in particular regression modelling approaches (including longitudinal data, spline modelling), with the ability to implement in R software.

Essential skills:

1. Applied experience of statistical modelling in a pharmaceutical context, with a strong preference for oncology Therapy Area.
2. Demonstrated experience working with customers to help formulate business problems as rigorous quantitative questions and translating analysis results to business recommendations.
3. MSc degree in a rigorous quantitative discipline (such as mathematics, computer science, biostatistics, engineering).
4. Practical software development skills in standard data science tools.
5. Pharma/Biotech Industry experience of ideally 5+ years.

At AstraZeneca, we’re dedicated to being a Great Place to Work. We empower you to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients, and society. We foster an inclusive culture that champions diversity and teamwork. We are committed to lifelong learning, growth, and development. We’d love to hear from you if you have suitable experience—apply to the role.