Lead Cancer Epigenomics ML Scientist (Remote)

Remote Genie; United States; Remote; USD 146,000 - 180,000; Full time

Benefits offered by this job

Competitive Benefits

401k benefits

Fertility care benefits

Job summary

Natera is seeking a Lead Bioinformatics & Machine Learning Scientist to advance R&D in Epigenomics for oncology. You will develop ML methods for early cancer detection from cfDNA methylation data and provide technical leadership across a collaborative team.

The role requires a PhD with 4–8+ years post-PhD, strong genomics and ML expertise, and hands-on coding in Python and ML frameworks. You’ll mentor scientists, design robust pipelines, and collaborate with molecular biologists to ensure data

Qualifications

• PhD in bioinformatics, CS, ML, or statistics with 4–8+ years post-PhD.
• Experience in cancer genomics or epigenomics; cfDNA methylation data a plus.
• Strong quantitative and ML skills; deep learning experience a plus.

Responsibilities

• Drive technical workstreams from problem definition to final classifiers.
• Design, implement, and validate novel ML methods for cancer diagnostics.
• Promote best practices in model interpretability, uncertainty estimation, and reproducibility.
• Design feature pipelines for cfDNA methylation and sequencing data.
• Collaborate with molecular biologists on experimental design and data quality.
• Mentor scientists and foster a culture of innovation and collaboration.
• Lead and participate in code and design reviews.

Skills

Python

Machine Learning

Statistical modeling

Leadership/mentoring

Data analysis

Education

PhD in Bioinformatics/related field

Tools

Git

Nextflow

Snakemake

Linux

Cloud computing

Job description

Natera is seeking a Lead Bioinformatics & Machine Learning Scientist to advance R&D in Epigenomics for oncology. You will develop ML methods for early cancer detection from cfDNA methylation data and provide technical leadership across a collaborative team.

The role requires a PhD with 4–8+ years post-PhD, strong genomics and ML expertise, and hands-on coding in Python and ML frameworks. You’ll mentor scientists, design robust pipelines, and collaborate with molecular biologists to ensure data