Senior Scientist – AI Translational

AstraZeneca GmbH; Cambridge; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

AstraZeneca in Cambridge seeks a Senior Scientist to build and benchmark AI capabilities for translational science, partnering with scientists, bioinformaticians and AI experts to deliver robust, reusable AI products with patient impact.

You will design, prototype and scale AI approaches, evaluate rigorously, and translate promising prototypes into deployable capabilities, contributing to scientific strategy and knowledge sharing in a collaborative team environment.

Qualifications

• MSc or equivalent in a highly quantitative discipline.
• Experience building, fine-tuning and deploying modern AI systems.
• Advanced Python skills with reproducible code practices.
• Contributions to open-source AI projects or AI conferences.

Responsibilities

• Partner with translational scientists to identify high-impact scientific problems.
• Design, prototype and scale AI capabilities using state-of-the-art models and architectures.
• Collaborate with engineers to turn AI approaches into robust products.
• Contribute to scientific strategy, standards and knowledge sharing.

Skills

MSc or equivalent

Experience AI systems

Python programming

Open-source contributions

AI conferences

Education

PhD or equivalent in quantitative discipline

Tools

Git

Job description

Role: Senior Scientist – AI Translational

Location: Cambridge UK

Salary: Competitive + Excellent Benefits

Introduction to the Role:

Join AstraZeneca’s AI for Translational Sciences Respiratory, Immunology and Infectious Disease team to accelerate and improve the development of medicines for patients by develop, benchmark and deploy AI focused on mechanistic reasoning. This is an opportunity to work at the intersection of artificial intelligence, multi-omics and translational medicine in a collaborative, science-led environment.

About the Role:

We are seeking a Senior Scientist to build and benchmark innovative AI capabilities and products for translational science. You will partner closely with translational scientists, bioinformaticians and AI experts to frame high-value scientific questions, integrate data products and tools to deliver robust solutions that support evidence-based decisions across research and development.

You will combine strong applied AI experience with scientific curiosity. You will evaluate AI rigorously, communicate findings clearly and help translate promising prototypes into reusable capabilities and products with meaningful scientific and patient impact.

Responsibilities:

• Partner with translational scientists and bioinformaticians to identify and prioritise high-impact scientific problems.
• Design, prototype and scale AI capabilities using state-of-the-art models, tools and architectures, including retrieval-augmented generation, agentic workflows and multimodal AI systems where appropriate.
• Partner with engineers to transition promising AI approaches into robust, governed and reusable products.
• Contribute to scientific strategy, technical standards, code quality and knowledge sharing across the team.

Essential Skills:

• MSc or equivalent experience in computer science, machine learning, artificial intelligence, statistics, mathematics, physics or another highly quantitative discipline
• Demonstrated experience developing, fine-tuning, evaluating or deploying modern AI systems, including foundation models, large language models, multimodal models or deep learning approaches.
• Proven ability to rapidly assess emerging AI techniques and apply them to real-world scientific and industry challenges.
• Advanced Python skills and experience producing clear, tested, reproducible analytical code using collaborative version control.
• Contributions to open-source AI projects, leading AI conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, AI for Science venues) or impactful industrial AI products.

Desirable Skills:

• PhD or equivalent experience in data science, computer science, statistics, bioinformatics, computational biology or a related quantitative discipline.
• Experience analysing genomic, transcriptomic, proteomic, single-cell, spatial or other multi-omics data.
• Knowledge of translational medicine, drug discovery, human disease biology or biomarker development, particularly in respiratory, immunology or infectious disease.
• Experience designing rigorous AI evaluation frameworks and benchmarking state-of-the-art methods against established baselines.
• Strong communication, problem-solving and stakeholder-management skills, with a collaborative and delivery-focused mindset.

Why AstraZeneca:

At AstraZeneca AI is central to transforming science and accelerating the potential of medicines. You will join a collaborative community of scientists and technologists, with the space to test new ideas, apply cutting-edge approaches to meaningful problems and help create solutions that can positively impact patients’ lives.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

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Date Posted

15-Sept-2026

Closing Date

25-Sept-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.