We are looking for an experienced Translational Data Scientist to join our Data Science and Bionformatics team. You will be part of the Translational Medicine and Bioinformatics department in the Immunology therapeutic area.

In this role, you will work in a highly collaborative and science-driven environment focused on advancing our understanding of immune-mediated disease biology, identifying novel therapeutic opportunities, and enabling precision approaches across our Immunology portfolio from discovery through clinical development.

This role is located at our site in Kendall Square, Boston.

Be encouraged and supported to think creatively in our dynamic environment. Here, we are free to ask the right questions and make bold decisions. We harness multi-omics, computational biology, and AI to accelerate research, connect complex molecular and clinical data to key biological questions, and ensure that discoveries made in the lab can make a meaningful difference for patients.

What you will do

In this role, you will work in a highly cross-functional and thriving environment together with specialists in immunology, cell therapy, translational medicine, and data science, as well as with other translational data scientists and AI experts.

We are looking for an outstanding Translational Data Scientist to enable translational science through the integration and interpretation of large-scale multimodal datasets, with particular emphasis on single-cell and spatial omics in immunology. You will apply innovative analytical and AI-driven approaches to identify disease mechanisms, therapeutic hypotheses, biomarkers, and patient subgroups, helping to support decision-making across the portfolio.

You will contribute to the identification of transformational precision medicine propositions to deliver life-changing medicines to patients. You will be responsible for planning, performing, interpreting, and communicating analyses that maximize the value of our growing data assets. These may include single-cell transcriptomics, spatial transcriptomics, BCR/TCR repertoire data, high-dimensional immune profiling data, and other complementary molecular and clinical datasets.

You will play a central role in the evaluation, adoption, and practical application of AI and machine learning methodologies across the team. This includes hands-on experience with large language models, biological foundation models, and other frontier AI approaches applied to multimodal biological data analysis, knowledge extraction, and translational insight generation. Critically, you will act as a scientific guide and quality arbiter for AI outputs; ensuring biological validity and translational relevance rather than simply a consumer of AI tools.

By applying state-of-the-art computational methods in a collaborative cross-functional setting, you will help generate actionable biological insight in immunological diseases and support the advancement of next-generation therapeutic strategies, including cell therapy.

Essential for the role
• Relevant PhD (or equivalent) in computational biology, translational data science, bioinformatics, biostatistics, or a related quantitative discipline, plus at least 3+ years of relevant applied experience in academia, biotech, or pharmaceutical R&D.
• Deep expertise in single-cell omics analysis, with strong hands-on experience in the analysis, interpretation, and biological application of single-cell RNA-seq data.
• Strong experience in spatial omics / spatial transcriptomics / spatial proteomics.
• Expertise in at least one of BCR/TCR repertoire analysis or high-dimensional cytometry data analysis such as CyTOF, together with interest in working across both.
• Proven experience in multimodal data integration across molecular and clinical datasets, especially across modalities such as single-cell transcriptomics, spatial omics, immune repertoire data, cytometry, and associated metadata.
• Excellent coding skills in Python, R, or similar languages appropriate for large-scale omics analysis, together with experience in version control such as Git/Bitbucket, Linux environments (cluster and/or cloud), and effective use of modern AI-assisted coding tools such as GitHub Copilot or Claude Code.
• Strong understanding of immunology and the use of omics data to derive biological insight relevant to disease mechanisms, translational research, biomarker strategies, and therapeutic development.
• Demonstrated hands-on experience applying machine learning and AI methods to biological data, including familiarity with at least one of: biological foundation models (e.g. scGPT), deep learning frameworks (PyTorch or TensorFlow), large language models for biological knowledge extraction or agentic workflows, or generative and representation learning approaches. Ability to critically evaluate AI tool outputs in a biological and translational context.
• Outstanding communication and collaboration skills, with the ability to explain complex computational analyses to both expert and non-expert audiences and to work effectively across cross-functional teams.
• A high degree of scientific independence, curiosity, and a proactive, delivery-focused mindset.

Desirable for the role
• Experience in Immunology and/or Cell Therapy research within a pharmaceutical, biotech, or leading academic environment.
• Experience with both BCR/TCR repertoire analysis and CyTOF.
• Experience working within AI-augmented analytical pipelines and the ability to define when and where AI adds genuine scientific value versus where human biological judgement remains essential.
• Track record of applying translational data science and computational analyses to drive decisions in drug discovery, translational science, or clinical development.
• Experience leading projects and collaborating with internal and/or external partners in matrixed, multidisciplinary teams.

Work policy

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working give 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.

What's next?
If you are ready to make a difference - apply today, and we'll make it happen together!

How to Apply

Please submit your CV together with a short cover letter outlining your relevant experience and motivation for the role. Applications will be reviewed on a rolling basis.

The annual base pay for this position ranges from $115,057.60 - $178,586.40. 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
23-Sep-2026

Closing Date
09-Oct-2026