Senior Scientist - Drug Discovery (AI/ML)
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Senior Scientist, Cell Therapy Discovery
Location: Gaithersburg, MD USA
This Opportunity
We 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
Why AstraZeneca?
At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods, and bringing unexpected teams together. Interested? Come and join our journey.
So, what’s next!
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available, and we hope it’s yours.
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 Posted
22-Oct-2026
Closing Date
20-Nov-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Job details
How this role compares
Computed from every other active Drug Discovery & Preclinical Research role in our database, not just this employer's listings.
We currently track 396 comparable Senior Drug Discovery & Preclinical Research roles across 55 biopharma companies.
Salary context
183 of 396 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 396 comparable roles
+ 15 more countries
Seniority mix
396 of 396 peers have a known seniority level
Therapeutic area mix
40 of 396 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.