Lead Bioinformatics & Machine Learning Scientist (Epigenomics)

Natera is currently seeking a Lead Bioinformatics & Machine Learning Scientist to contribute to research and development within our Bioinformatics Research and Development team, focused on Epigenomics in Oncology. The team develops machine learning methods for early cancer detection from cell-free DNA methylation data. The ideal candidate will have a strong background in machine learning and statistical modeling, as well as genomics and sequencing data analysis. The successful candidate will be instrumental in developing and expanding state-of-the-art machine learning methods for early detection of cancer, and will provide technical leadership and mentorship within a highly collaborative team.

PRIMARY RESPONSIBILITIES:

Drive technical workstreams within a collaborative team that takes methods from problem definition through delivery of final classifiers to downstream validation teams

Design, implement, and validate novel machine learning and statistical methods to solve problems in cancer diagnostics

Establish and promote best practices in model interpretability, uncertainty estimation, and reproducibility

Design robust feature engineering and extraction pipelines tailored to cfDNA methylation and sequencing data

Collaborate closely with molecular biologists on experimental design, ensuring data integrity and quality control

Mentor other scientists and foster a culture of innovation, collaboration, and scientific excellence

Lead and actively participate in code and design reviews

QUALIFICATIONS:

PhD in Bioinformatics, Computer Science, Machine Learning, Statistics, or a related quantitative field, with 4 to 8+ years of post-PhD experience

Hands-on experience in cancer genomics or epigenomics; experience with cell-free DNA or methylation sequencing data is a plus

Strong foundation in quantitative reasoning, statistical analysis, and applied machine learning; experience with deep learning frameworks is a plus

Proven track record of developing computational methods for high-throughput sequencing data analysis

Strong programming skills, with hands-on experience in Python and its scientific library stack (pandas, NumPy, scikit-learn)

Experience with Linux command-line tools, shell scripting, version control (Git), workflow managers (e.g., Nextflow, Snakemake), and cloud or HPC compute environments

Ability to perform hypothesis-driven research, visualize findings, and summarize results in oral and written form

Experience mentoring or technically leading other scientists

Compensation & Total Rewards

This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of  hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.

This position is also eligible for additional compensation and benefits through Natera’s robust Total Rewards program, including:

Annual performance incentive bonus

Long-term equity awards

Comprehensive health benefits (medical, dental, vision)

401(k) with company match

Generous paid time off and company holidays

Additional wellness and work-life benefits

Compensation Range

$172,000—$214,000 USD