Senior Scientist – AI and Computational Tools, Oncology R&D (12-Month FTC)
UK - CambridgeCompetitiveFull time0 applicants
About this role
Senior Scientist,
– AI and Computational Tools
,
Oncology R&D
(12-Month FTC)
Requirements
- Proven experience building data infrastructure in a research setting – including designing LIMS schemas or ELN workflow, building structure
- databases
- and developing reproducible data pipelines with automated validation and QC.
- Familiarity with agentic AI frameworks, LM integration, or AI-assisted coding tools (e.g. GitHub, Copilot, Claude Code, or similar) in a research or production context.
- Hands-on experience developing and deploying tools for use by others – such as Shiny apps, automated reporting systems, or shared analysis packages; comfort with version control (Git/GitHub) and collaborative software development practices.
- Strong
- proficiency
- in Python and/or R, and large-scale data management.
- Strong immunology and/or immuno-oncology domain
- expertise
- – a working understanding of immune cell biology, T cell
- function
- and the tumour microenvironment sufficient to independently interpret experimental data and contribute meaningfully to biological discussions.
- Experience with single-cell and spatial transcriptomics, bulk RNA-
- seq
- , and/or functional screening datasets; ability to build robust analytical pipelines and/or QC processes.
- Demonstrated ability to train users and drive adoption of new data systems or tools across research teams, including writing documentation and presenting to scientific leadership.
- Strong interpersonal, and collaboration skills, with
- a track record
- of working effectively across wet-lab and dry-lab teams in a matrixed environment.
- Proven
- track record
- of scientific accomplishments (e.g., publications/patents).
- Experience preparing written scientific reports and delivering oral presentations
- Desirable Skills
- PhD in relevant disciplines or equivalent experience (
- e.g.
- Bioinformatics, Systems Biology, Computational Biology, Applied Mathematics, Statistics, Data Science, Computer Science).
- Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological data.
- Experience with open data platforms such as Domino/
- QuartzBio
- .
- Expertise
- in T-cell engagers, cytokines, bispecific molecules,
- tumour
- microenvironment
- and/or myeloid biology.
- Experience working with translational datasets.
- Experience in an industry drug discovery setting, with knowledge of discovery-stage decision-making.
- What You Will Gain
- You will
- operate
- at the
- cutting edge
- of oncology discovery,
- combining AI and data engineering
- with
- deep immunology to accelerate target discovery, mechanism-of-action studies, and candidate selection. You will play a central role in shaping how the Immune Cell Engagers Discovery group integrates AI into its daily workflows – building tools that colleagues rely on, mentoring the next generation of computationally-enabled scientists, and helping define what an AI-first discovery department looks like in practice.
- So, what’s next?
- Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you!
- Where can I find out more?
- Our Social Media,
- Follow AstraZeneca on
- : https://www.linkedin.com/company/1603/
- Follow AstraZeneca on
- : https://www.facebook.com/astrazenecacareers/
- Follow AstraZeneca on
- : https://www.instagram.com/astrazeneca/?hl=en
- Date Posted
- 05-Jun-2026
- Closing Date
- 18-Jun-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.