Manager of Bioinformatics (Women's Health and Organ Health)
Natera · San Carlos, CA
About this role
### Manager, Bioinformatics (Women’s Health and Organ Health) Natera is seeking a **Manager, Bioinformatics** to lead **production support** for the bioinformatics and data science algorithms behind our **Women’s Health** and **Organ Health** products. You will lead a team of **Data and Bioinformatics Scientists** who are accountable for how these algorithms behave on real samples, and you will own the interface between the team and the **production organization**. #### Key Challenge Resolving **inconclusive reports**, where a scientist must weigh the full body of evidence to reach a determination. You will: - Determine whether an inconclusive report reflects **technical constraints** or a **data quality issue** - Identify how upstream processes should change to reduce the number of inconclusive cases - Maintain a catalogue of known patterns so new cases can be matched to settled ones - Use **AI** to assemble and help interpret evidence at triage #### What Makes This Role Different This is more than operational work—it’s the most **cross-functional seat** on the team. You’ll coordinate across **Production Engineering, Product, the laboratory, and R&D**, aligning on changes in direction and scope through strong communication, negotiation, and consensus-building. There is no stated service commitment yet—**defining one is part of the job**. You will determine what the team can commit to on **turnaround and coverage**, align dependent groups, and build the process and staffing to support it. --- ## Primary Responsibilities - **Support Ownership:** Own the support function for production data science and bioinformatics algorithms—ensure answers are correct and delivered when they’re still useful. - **Investigation and Root Cause:** Lead complex investigations across system boundaries. Distinguish biological signal vs. algorithm vs. data vs. infrastructure issues, and identify which group owns the fix. Convert one-off investigations into durable rules and design changes. - **Change Validation:** Own process validation for pipelines and algorithms as operations change. Define required evidence before changes enter workflows running samples, and uphold the standard even under schedule pressure. - **Team Leadership and Development:** Lead, hire, and grow a team of Data and Bioinformatics Scientists. Model deep systems judgment. - **Cross-functional Partnership:** Partner with Production Engineering, Product, Bio Development, laboratory operations, and Data Science R&D to resolve operational issues and prevent recurring ones. Represent what the algorithms actually do and negotiate commitments and upstream fixes. - **Ways of Working:** AI is a routine part of the work; support is where these tools help most and where unreviewed conclusions can cause the most damage—set the standard for how AI-assisted conclusions are handled.
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