About Tessera Therapeutics
Tessera Therapeutics is an early-stage life sciences company pioneering Gene Writing™, a new biotechnology designed to offer scientists and doctors the…. Backed by SoftBank VF.
About the role
We are seeking a highly motivated scientist with a strong computational background and significant experience in biological research. As part of the Computational Biology team, you will collaborate closely with Platform teams to advance our technologies and deepen our understanding of reagent biology.
What they're looking for
- PhD with 5+ years of experience in academic or industry setting, MS with 10+ years of experience or BS with 12+ years of experience
- 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 your daily work
- Working both independently and as part of a collaborative, multi-disciplinary team to design, analyze, and interpret multi-omics technologies focused on understanding gene writing systems
More about this role
- PhD with 5+ years of experience in academic or industry setting, MS with 10+ years of experience or BS with 12+ years of experience
- Broad knowledge of genome editing technologies and associated off-target discovery assays (i.e. WGS; targeted sequencing; GUIDE-seq, Digenome-seq discovery / verification; large and small structural variations and translation effects; NGS QC)
- 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 your daily work.
- Working both independently and as part of a collaborative, multi-disciplinary team to design, analyze, and interpret multi-omics technologies focused on understanding gene writing systems.
- Processing, analyzing, and interpreting data from a wide variety of research and preclinical projects to develop rigorous hypotheses.
- Collaborating closely with experimental scientists to ensure that data is effectively utilized for high-level...
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