Sendabiosciences
Senior Scientist I, Computational Biology
Cambridge, MA. Posted 16 days ago
The role
The Senior Scientist I will lead analysis of preclinical research datasets to support therapeutic development. This role supports In Vivo CAR-T immunology programs and platform development using data-driven approaches.
What you will do
- Lead analysis of preclinical research datasets including immunophenotyping, functional assays, and multi-omics data
- Develop, adapt, and benchmark computational and statistical methods
- Integrate and interpret data across studies to contextualize findings
- Partner with experimental scientists to shape experimental design and prioritize follow-up studies
- Build and maintain reproducible analysis workflows with documentation and version control
- Communicate findings, uncertainty, and implications with collaborators
Required qualifications
- Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics, or a related quantitative discipline
- 3+ years of hands-on computational biology research in biotech, pharma, or academia
- A record of independently leading substantial computational biology projects
- Deep expertise in at least one relevant area such as transcriptomics, multi-omics analysis, or quantitative analysis of preclinical studies
- Strong grounding in statistical modeling
- Strong programming skills in Python and/or R
- Demonstrated ability to collaborate effectively with experimental scientists
Nice to have
- 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 to cloud-based or collaborative data environments
- Track record of impactful scientific contributions (publications or program support)
- Computational protein design and / or structural biology experience
About the company
Sail Biomedicines is building a new class of fully programmable medicines by integrating circular RNA (eRNA™), targeted nanoparticle delivery, and advanced computational approaches.