PhD in Computer Science, Bioinformatics, Computational Biology, or related field with 4-8+ years of post-PhD experience.
Deep understanding of high-throughput DNA sequence data analysis, including mapping and variant calling.
Experience in algorithm development and statistical methods for data analysis.
Proven track record in developing machine learning models for biological data.
Strong programming skills in Python and familiarity with Linux command-line tools.
Knowledge of public databases like TCGA, COSMIC, or OncoKB.
Ability to communicate complex findings to both technical and non-technical audiences.
Responsibilities
Develop, train, and evaluate machine learning models for cancer detection in MRD settings.
Own end-to-end research analyses, from ideation to implementation and performance evaluation.
Translate wet-lab experimental design into computational analysis while maintaining quality control.
Communicate findings and model performance to technical and cross-functional stakeholders.
Contribute to establishing standards for code quality and reproducibility.
Benefits
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
Full Job Description
Natera is seeking a Lead Bioinformatics & Machine Learning Scientist to join our Bioinformatics Research team and help build the machine learning models behind Natera's tissue-free, methylation-based assay. These will be the models that detect cancer in the minimal residual disease (MRD) setting and help inform treatment selection. The ideal candidate brings a strong background in algorithm development, genomics, sequencing data processing, and applied machine learning. Primary Responsibilities:
Develop, train, and evaluate machine learning models, driving algorithm design decisions that support cancer detection in the MRD setting.
Own end-to-end research analyses, from ideation through implementation (scripts and notebooks), troubleshooting, and performance evaluation, including developing new features within existing pipelines.
Translate between wet-lab experimental design and computational analysis, navigating ambiguity as assay requirements evolve and maintaining rigorous quality control across high-volume sequencing data spanning multiple cohorts, vendors, and clinical protocols.
Communicate findings and model performance to both technical and cross-functional stakeholders, and contribute to establishing standards for code quality and reproducibility.
Qualifications:
PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field with a strong emphasis on cancer epi/genomics and 4 to 8+ years of experience post-PhD.
Knowledge, Skills, and Abilities:
Deep theoretical and practical understanding of high-throughput DNA sequence data analysis, including mapping, sequence alignment, and variant calling workflows.
Experience in algorithm development and data analysis, including applying and evaluating statistical methods.
Demonstrated experience in developing core ML models, including generalized linear models, kernel methods, tree-based algorithms, and neural networks, with a focus on biological data (e.g., DNA sequencing data)
Strong quantitative reasoning and data analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems.
Experience with Python and Linux command-line tools, including writing shell scripts. Strong computational and programming skills, including thorough experience with Python statistical packages (NumPy, Matplotlib, Pandas).
Familiarity with public databases such as TCGA, COSMIC, or OncoKB.
Ability to visualize findings and summarize results in oral and written form for both technical and non-technical audiences.
High scientific rigor, with eagerness to teach and learn new computational methods and biology.
Ability to work on a cross-functional team in a highly collaborative environment, partnering with both computational and experimental 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
About Natera
Natera is a biotechnology company that focuses on genetic testing and diagnostics. The company's products are designed to help diagnose and treat genetic diseases, cancer, and other conditions. Natera's pipeline includes products for reproductive health, oncology, and organ transplantation. The company was founded in 2003 and is headquartered in San Carlos, California.
