Role Summary
Senior Scientist, Cell Therapy Discovery. Based in Gaithersburg, MD, USA. Focused on Computational Biology applied to Cellular Therapy, Immunology, and Immuno-Oncology, with responsibilities including developing computational models, designing experiments, and interpreting scientific data.
Responsibilities
- Plan, conduct, and troubleshoot discovery research experiments independently.
- Assess and report data with an understanding of its implications within drug discovery; formulate conclusions and determine future experiments.
- Design, develop, and deploy AI-driven machine learning and deep learning models to extract knowledge from structured and unstructured data sources relevant to 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 standards and external regulations.
Qualifications
- PhD in a relevant discipline 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.
- Experience with UNIX-based systems, high-performance computing (e.g., SLURM), and large-scale data management.
- Expertise in omics technologies and processing large-scale biological datasets (e.g., single-cell/spatial transcriptomics, in-house proprietary data sources).
- Deep understanding of AI, predictive modelling, and statistical methods for training machine learning models.
- Hands-on expertise in T-cell functional characterization assays (in vitro cytotoxicity, proliferation, cytokine measurement, multi-parameter flow cytometry).
- Ability and motivation to drive projects to completion in a team environment.
Desirable Skills/Experience
- Experience in drug development in an industry setting.