Senior Scientist, Computational Biology - Contract
About The Position
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. Your role will involve (1) working with biologists to design and run experiments, (2) developing methods and tools for processing and interpreting molecular data, and (3) presenting findings to an interdisciplinary audience. Your curiosity and passion will fuel your discoveries, while strong connections with biologists and data/software engineers will amplify the impact of your work. Tessera employees are creative and collaborative problem solvers. They have a strong sense of integrity and unwavering commitment to scientific excellence.
Requirements
- 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 workflow tools such as Nextflow, Dagster, or equivalent systems.
- Experience with AWS/cloud computing, version control, reproducible analysis practices, and software development best practices.
Nice To Haves
- AI agents for your work.
Responsibilities
- Developing computational biology pipelines with leading cloud technologies (i.e. Dagster, Nextflow) and state-of-the-art control systems software and procedures (i.e. CI/CDs, unit tests, etc.).
- Becoming part of a dynamic, expanding team in a fast-paced and supportive environment with different groups and experts from various backgrounds.
- 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.
- Developing the computational methods to understand and model gene writing events
- 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 impact.
- Presenting scientific findings to broad audiences, including senior leadership, to drive decision making in program teams.
Benefits
- Equal Opportunity Employer
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
