Senior Computational Biologist, Genomics & Gene Writing (Hybrid)

Tessera Therapeutics; Somerville (MA); Hybrid; USD 141,000 - 171,000; Full time

Job summary

Tessera Therapeutics in Somerville, MA, is seeking a highly motivated Computational Biologist to join the Computational Biology team. You will design and run experiments with biologists, develop tools for processing molecular data, and present findings to an interdisciplinary audience.

The role is hybrid with onsite 2–3 days per week in Somerville, and local Boston-area candidates are preferred. Collaboration with data/software engineers is essential to scale analyses and support gene writing

Qualifications

• PhD with 5+ years of experience or MS with 10+ years or BS with 12+ years.
• Broad knowledge of genome editing technologies and off-target discovery assays.
• Hands-on experience developing, executing, and troubleshooting NGS analysis pipelines in cloud-based environments.
• Experience with AWS/cloud computing, version control, reproducible analysis practices, and software development best practices.
• Experience with workflow tools such as Nextflow, Dagster, or equivalent systems.
• Experience with AI tools for daily work.

Responsibilities

• Collaborate with Platform teams to analyze multi-omics data and understand gene writing systems.
• Design, analyze, and interpret data from research and preclinical projects to develop strong hypotheses.
• Work closely with experimental scientists to ensure data informs high-level decisions.
• Present scientific findings to senior leadership to drive program decisions.
• Be part of a dynamic team in a fast-paced, collaborative environment.

Skills

NGS pipeline development

Cloud computing

AI tools

Biology data analysis

Version control (Git)

Education

PhD

MS

BS

Tools

Nextflow

Dagster

AWS

Git

Job description

Tessera Therapeutics in Somerville, MA, is seeking a highly motivated Computational Biologist to join the Computational Biology team. You will design and run experiments with biologists, develop tools for processing molecular data, and present findings to an interdisciplinary audience.

The role is hybrid with onsite 2–3 days per week in Somerville, and local Boston-area candidates are preferred. Collaboration with data/software engineers is essential to scale analyses and support gene writing