Lead Bioinformatician (cfDNA Algorithms and Pipelines)
Natera · US Remote
About this role
**Lead Bioinformatician (cfDNA Algorithms and Pipelines)** Natera is seeking a **Lead Bioinformatician** to advance the algorithmic foundations of our diagnostic assays supporting **Women’s and Organ health**. This is an **individual contributor** role. You will bring genomics expertise to help the team pull **reliable signals** out of sequencing data that is often ambiguous. --- ## What you’ll do ### Primary Responsibilities **1) Panel and Assay Science** - Provide genomics algorithm insights to the expanded panel roadmap, including which genes are worth considering and why. - Work with Product, Laboratory Directors, and Research (joint ownership) to define the approach. - Help define strategies for analytically difficult genes and assay edge cases—balancing what’s scientifically defensible vs. what’s technically possible. **2) Caller Strategy and Method Development** - Define the computational strategy for new targeted and special-purpose callers. - Determine when a new caller is justified vs. when an existing method should be extended. - Prototype and benchmark new methods, and partner with engineering to bring methods into production. **3) Scientific Investigation and Escalation** - Serve as a genomics consultant on complex production escalations. - Separate biological causes from analytical and pipeline issues. - Identify suspicious results based on read origin (not just analysis behavior). - Convert one-off investigations into durable rules and design changes that reduce repeat work. **4) Data Quality and Cross-functional Partnership** - Act as a bioinformatics liaison with Variant Management, Reporting, and Laboratory Operations. - Support data quality, variant representation, and system integration. - Provide the scientific rationale that Quality and Laboratory teams rely on when deciding whether a method is ready to deploy. **5) Ways of Working (AI-assisted investigation)** - Help define what “correct” looks like for AI-assisted scientific investigation (e.g., what an agent may or may not conclude from a region-level finding without human sign-off). - Note: the role does **not** screen for prior AI tool experience; strong candidates from restricted environments are welcome—tooling and ramp time will be provided. --- ## What success looks like after a year - Contributed to the scientific and bioinformatics rationale of product roadmaps. - Deployment-readiness criteria for new analysis methods exist and are in use, and you’ve contributed to at least one new or extended caller. - You take on bioinformatics aspects inside complex production investigations without waiting to be assigned them.
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