Senior Scientist, Cell Therapy Discovery
About The Position
Are you ready to dive into the world of Cellular Therapy and make a difference in patients' lives? We are on the lookout for a driven and independent Senior Scientist with a knack for Computational Biology applied to Cellular Therapy, Immunology, and Immuno-Oncology. Join our dynamic Cell Therapy Team and contribute to groundbreaking advancements by developing computational models, designing experiments, and interpreting scientific data. This role is based in Gaithersburg, MD, USA. AstraZeneca offers an inspiring environment where your expertise can make a profound impact. With a commitment to continuous improvement and innovation, we embrace challenges and thrive on collaboration. Our dynamic approach ensures that every setback is an opportunity for growth. Here, you'll be part of a team that values curiosity and courage, pushing boundaries to deliver life-changing medicines to patients worldwide. At AstraZeneca, we seize opportunities to innovate and redefine what’s possible in biopharmaceuticals. Our mission to deliver transformative medicines is underpinned by a culture of collaboration, inclusivity, and ambition. Join us in a role where your work directly gives to breakthroughs in oncology, empowering patients and changing lives. Ready to take the next step in your career? Apply now and be part of something extraordinary!
Requirements
- 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.
- 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.
Nice To Haves
- Experience in drug development in an industry setting.
Responsibilities
- 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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
