Senior Scientist, Cell Therapy DiscoveryLocation: Gaithersburg, MDUSAThis OpportunityWe are seeking a highly motivated and independent Scientist/Sr. Scientist with demonstrated experience and expertise in Computational Biology applied to Cellular Therapy, Immunology, and/or Immuno-Oncology to join our rapidly growing Cell Therapy Team.
In this role you will contribute to the advancement of innovative Cell Therapy products by developing advanced computational models using large-scale omic datasets, designing and conducting laboratory experiments, and generating and interpreting scientific data in a highly collaborative environment. The role will be based in
Gaithersburg, MD, USA.
Accountabilities- Plans, conducts, and troubleshoots discovery research experiments independently.
- Assesses and reports 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.
- Provides technical instruction to the team and allocates administrative work where possible
- Works collaboratively in a matrix environment
- Prepares and delivers presentations within the Cell Therapy Unit and across other functions
- Ensures own work, and work of peers, are compliant with relevant internal AstraZeneca standards and external regulations
Education and Experience- PhD in relevant disciplines or equivalent experience (e.g. Bioinformatics, Systems Biology, Applied Mathematics, Statistics, Data Science, Computer Science)
- Minimum of 3 years of experience in Cellular Therapy, Immunology, Immuno-Oncology, Computational Biology, and/or Data Science
Essential Skills- 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, and 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 drug development in an industry setting
The annual base pay for this position ranges from $118,870.40 - $178,305.60. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted22-Oct-2026
Closing Date20-Nov-2026
