Scientist, Computational Biology

Cell Signaling Technology (CST) is a different kind of life sciences company, one founded, owned, and run by active research scientists, with the highest standards of product and service quality, technological innovation, and scientific rigor for over 20 years. We consistently provide fellow scientists around the globe with best-in-class products and services to fuel their quests for discovery.

Helping researchers find new solutions is our main mission every day, but it's not our only mission. We're also dedicated to helping identify solutions to other problems facing our world. We believe that all businesses must be responsible and work in partnership with local communities, while seeking to minimize their environmental impact. That's why we joined 1% for the Planet as its first life science member, and have committed to achieving net-zero emissions by 2029.

The Scientist, Computational Biology develops and applies advanced computational methods to support CSTs research in immunology, proteomics, structural biology, and antibody discovery. This role emphasizes the integration of artificial intelligence and machine learning approaches with structural and multi-omics data to drive new insights and accelerate discovery. The Scientist will design and implement computational pipelines, apply predictive modeling, and collaborate closely with interdisciplinary teams across R&D and the broader organization.

Essential duties and responsibilities (with ESTIMATED percentage allocation)

• Develop and implement scalable bioinformatics workflows for BCR sequencing, single-cell analysis, spatial biology, epigenetics, and multi-omics integration.
• Apply rigorous standards for reproducibility and documentation.

• Design and apply machine learning and deep learning models to large-scale biological and structural datasets.
• Develop predictive methods for antibody-antigen interactions and protein structure analysis.
• Apply structure prediction and molecular docking tools (e.g., Alpha Fold, Rosetta, Auto Dock) to model protein and antibody interactions.

• Partner with Structural Biology, Proteomics, Molecular Biology, and Single Cell Technologies teams to support discovery initiatives.
• Collaborate with immunologists, biologists, and data scientists to integrate computational results into CSTs R&D pipeline.
• Contribute to cross-functional projects with Data Science, Software Engineering, and commercial stakeholders.

• Communicate findings to technical and non-technical audiences through reports, presentations, and publications.
• Share results and methods with internal and external collaborators.

• Evaluate and implement emerging computational approaches, including AI/ML frameworks and structural modeling tools.
• Recommend enhancements to CSTs bioinformatics infrastructure and practices.

• Ph.D. in Computational Biology, Bioinformatics, Data Science, Structural Biology, Immunology, or related field.
• Proficiency in programming languages such as Python, R, and Bash.
• Experience with bioinformatics tools for sequencing data, particularly BCR sequencing and single-cell analysis.
• Familiarity with applying machine learning methods to biological data.
• Experience working in cloud computing and high-performance computing (HPC) environments.
• Strong problem‑solving ability and effective communication skills for interdisciplinary collaboration.

• Demonstrated experience in structural prediction, molecular modeling, and antibody‑antigen interaction analysis.
• Knowledge of AI/ML applications in structural biology, antibody discovery, and protein design.
• Hands‑on experience with Alpha Fold, Rosetta, molecular docking, or related structural modeling tools applied to biological or antibody‑antigen systems.
• Hands‑on experience with proteomics analysis and multi‑omics data integration.
• Proficiency in software engineering best practices (version control, workflow automation, CI/CD).
• Familiarity with…