Senior Scientist I, Computational Biology

Sail Biomedicines • Cambridge, MA

5d

About The Position

Sail Biomedicines is seeking a Senior Scientist I to work at the interface of platform development and therapeutic programs, using data-driven approaches and hands-on analysis of preclinical datasets. The role supports In Vivo CAR-T immunology programs and platform development, contributing to research aimed at autoimmune diseases and other therapeutic areas. The successful candidate will independently develop, implement, and critically evaluate computational methods, reasoning about their assumptions, limitations, and biological implications from raw measurements through interpretation. The position also offers opportunities to contribute to capabilities in molecular and systems modeling, computational protein design, and AI-based therapeutic engineering.

Sail Biomedicines is building programmable medicines by integrating circular RNA (eRNA™), targeted nanoparticle delivery, and advanced computational approaches to design and optimize therapies across immunology and other areas.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics, or a related quantitative discipline.
• At least 3 years of hands-on computational biology research in biotech, pharma, or academia.
• Record of independently leading substantial computational biology projects, including developing, adapting, and benchmarking analytical methods; evidence may include methods development, reusable scientific software, publications, or documented contributions to therapeutic research.
• Deep expertise in at least one relevant area, such as transcriptomics, multi-omics analysis, or quantitative analysis of preclinical studies, spanning data generation, quality control, methodological choices, and biological interpretation.
• Strong grounding in statistical modeling, including ability to address confounding, batch effects, biological versus technical variation, and experimental-design limitations, and to assess uncertainty and sensitivity to analytical choices.
• Strong programming skills in Python and/or R, with experience independently developing and maintaining reproducible, well-documented scientific analysis code and workflows.
• Ability to collaborate effectively with experimental scientists, take ownership of scientific questions, proactively drive improvement, and contribute beyond the candidate's core area of expertise.

Nice To Haves

• Experience in CAR biology, immunology, cell therapy, or RNA therapeutics.
• Experience integrating heterogeneous datasets across studies or conducting meta-analysis.
• Experience with workflow orchestration tools in cloud-based or collaborative data environments.
• Track record of impactful scientific contributions, such as publications or program support.
• Computational protein design and/or structural biology experience.

Responsibilities

• Lead analysis of preclinical research datasets, including immunophenotyping, functional assays, and multi-omics data, to support therapeutic development.
• Develop, adapt, and benchmark computational and statistical methods for biological questions where standard workflows are insufficient.
• Integrate and interpret data across studies using internal and external resources to contextualize findings, assess consistency, and strengthen understanding of therapeutics.
• Partner with experimental scientists to shape experimental design, identify limitations, interpret results, and prioritize follow-up studies.
• Build and maintain reproducible analysis workflows with clear documentation, Git version control, and consistent data annotation and metadata practices.
• Communicate findings, uncertainty, and implications to collaborators through visualizations, presentations, and written summaries.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree