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Bioinformatics Data Scientist

Ansa Biotechnologies - Emeryville, CA

Posted Jan 9, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$131K-$184K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

41% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Bioinformatics Data Scientist Emeryville, CA Job Summary: Ansa is seeking a highly skilled and motivated Bioinformatics Data Scientist to join our team. In this role you will work in collaboration with R&D scientists to understand experimental, manufacturing, and commercial data in the context of DNA sequence features. You will design and build data analysis pipelines that drive further innovation of Ansa's enzymatic DNA synthesis products. Embedded on a team of bioinformatics data scientists and software engineers, you will integrate the tools you build into our production software ecosystem. This work will improve manufacturing outcomes, enhance product development efforts, and feed insights back to Ansa's commercial strategy. This role requires a strong background in the analysis and interpretation of DNA data and some experience in implementing data science workflows at scale. The ideal candidate has a Ph.D. and 2+ years of experience in biotech or a related industry. Responsibilities: - Analyze data and present findings to drive decision-making in R&D, manufacturing pipeline improvement, and product development. - Critically evaluate statistical learning, AI, and bioinformatics tools for their appropriate application to experimental and production data. - Design, develop, and deploy scalable and robust bioinformatics pipelines. - Collaborate with cross-functional teams to understand requirements and rapidly implement solutions from prototype/concept to production deployment. - Ensure data integrity, traceability, accuracy, and security. - Use software engineering best practices, including distributed version control, participation in team code review, and automation for building, testing, and deploying production code. Qualifications: - Ph.D. in Bioinformatics, Computational Biology, Biophysics,

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