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Staff Machine Learning and Bioinformatics Scientist – Multi-Cancer Early Detection
Natera. Lead development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing statistical and machine learning methods for cancer signal detection, with a strong focus on deep learning and multimodal foundation models. Proven ability to mentor, collaborate, and communicate complex results effectively across technical and non-technical audiences.
Highest-signal resume keywords
PhD In Computer ScienceStatistical And Machine Learning MethodsDeep Learning ExpertisePython ProficiencyTechnical Leadership
ATS Keywords
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Hard Skills
Statistical AnalysisMachine LearningModel CalibrationUncertainty EstimationReproducibilityPrototype DevelopmentCode ReviewDesign ReviewBiological Data AnalysisComputational Methods
Soft Skills
Excellent CommunicationCollaborative ApproachMentoring
Industry Keywords
Cancer GenomicsDNA MethylationEpigenomic DataCell-Free DNALiquid BiopsyBiological DataResearch And DevelopmentTechnical DeliverablesScientific RigorValidation Studies
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Lead development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data
- Build interpretable, well-calibrated models with uncertainty estimation and reproducibility
- Prototype, test, and productionize ML models using scalable infrastructure
- Own key technical deliverables and help shape the team’s research roadmap
- Collaborate with molecular biologists and clinical experts on experiments and validation studies
- Conduct code and design reviews across projects
- Translate complex results for technical and non-technical audiences
- Mentor junior scientists and promote scientific excellence
Requirements
What you’ll need- PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field
- 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
- Eagerness to teach and learn new computational methods and biology
- Excellent communication skills and a collaborative approach across teams
- Preferred: Familiarity with DNA methylation and other epigenomic data
- Preferred: Experience with cell-free DNA and liquid biopsy samples
- Preferred: Background in cancer genomics and diagnostics
- Preferred: Hands-on work with multimodal foundation models applied to biological data
Benefits
Comp & perks- Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
- Free testing for employees and their immediate families
- Fertility care benefits
- Pregnancy and baby bonding leave
- 401k benefits
- Commuter benefits
- Employee referral program