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# Staff Machine Learning and Bioinformatics Scientist

- **Company:** NATERAS LOVE RESTORED LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $163,200.0 - $204,000.0
- **Contract:** Permanent contract
- **Skills:** Bioinformatics, Computer Simulation, Python (Programming Language), Machine Learning, Scientific Computating, Deep Learning, Information Technology
- **Published:** October 11, 2026
- **Apply:** https://startup.jobs/staff-machine-learning-and-bioinformatics-scientist-multi-cancer-early-detection-natera-10383558

## About the Role

* PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD
 * Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data
 * Proven track record of innovation and technical leadership in complex method development projects
 * Expertise in deep learning and multimodal foundation models
 * Proficient in Python and its scientific computing ecosystem
 * Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology
 * Excellent communication skills and a collaborative approach across teams

Preferred Experience:

 * Familiarity with DNA methylation and other epigenomic data
 * Experience with cell-free DNA and liquid biopsy samples
 * Background in cancer genomics and diagnostics
 * Hands-on work with multimodal foundation models applied to biological data

## Description

* Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data
 * Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group
 * Prototype, test and productionize ML models using scalable infrastructure
 * Own key technical deliverables within larger projects and help shape the team's research roadmap
 * Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies
 * Keep raising the bar through code and design reviews across projects
 * Translate complex results into clear stories for technical and non-technical audiences
 * Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence