Senior Scientist, Cell Therapy Discovery

Are you ready to push the boundaries of science and transform the lives of patients living with cancer? We are seeking a highly motivated and independent Senior Scientist with expertise in Computational Biology applied to Cellular Therapy, Immunology, and/or Immuno-Oncology. Join our rapidly growing Cell Therapy Team in Cambridge, UK, where you'll contribute to the advancement of innovative Cell Therapy products. Dive into developing advanced computational models using large-scale omic datasets, designing and conducting laboratory experiments, and generating and interpreting scientific data in a collaborative environment. Are you up for the challenge?
 

Accountabilities:

• Plan, conduct, and troubleshoot discovery research experiments independently.
• Assess and report data with a clear understanding of its implications within the overall context of drug discovery, independently formulate conclusions, and determine future experiments.
• Design, develop, and deploy AI-driven machine learning and deep learning models to extract knowledge and insights from structured and unstructured data sources relevant to the development of new therapies.
• Provide technical instruction to the team and allocate administrative work where possible.
• Work collaboratively in a matrix environment.
• Prepare and deliver presentations within the Cell Therapy Unit and across other functions.
• Ensure own work, and work of peers, are compliant with relevant internal AstraZeneca standards and external regulations.

Essential Skills/Experience:

• PhD in relevant disciplines or equivalent experience (e.g. Immunology, Bioinformatics, Systems Biology, Statistics, Data Science, Computer Science).
• Minimum of 3 years of experience in Cellular Therapy, Immunology, Immuno-Oncology, Computational Biology, and/or Data Science.
• Proficiency in Python and/or R.
• Prior experience in UNIX-based systems, high-performance computing (e.g. SLURM), and large-scale data management.
• Expertise in omics technologies, capable of processing large-scale biological datasets (e.g. single-cell/spatial transcriptomics, in-house proprietary data sources such as in vitro or in vivo data).
• Deep understanding of AI, predictive modelling, and statistical methods applied to training of machine learning models.
• Hands-on expertise in T-cell functional characterization assays such as in vitro cytotoxicity, proliferation, cytokine measurement, and multi-parameter flow cytometry.
• Ability and motivation to drive projects to completion in a team environment.

Desirable Skills/Experience:

• In vivo experience including animal handling, mouse tumor models, standard routes of dosing and engraftment, tissue harvest and processing.
• Experience in drug development in an industry setting.

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.
 

At AstraZeneca, you'll be part of a global cross-functional team that applies new knowledge and builds on diverse perspectives to keep learning. We foster a mindset of courage where everyone is empowered to innovate and work at pace. With one of the broadest Oncology pipelines in the industry, you'll have opportunities to work with novel drugs and make a meaningful difference for patients worldwide. Our commitment to patients and pioneering spirit are truly embedded in our values.
 

Ready to make an impact? Apply now and join us on this exciting journey!

Date Posted

12-nov.-2025

Closing Date

26-nov.-2025

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.