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# Lead Bioinformatics & Machine Learning Scientist

- **Company:** Natera
- **Location:** San Carlos, United States
- **Experience:** Expert
- **Salary:** $172,000.0 - $214,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Bioinformatics, Computer Simulation, Computer Programming, Data Integrity, Python (Programming Language), Linux Commands, Machine Learning, NumPy, Shell Script, Feature Engineering, Deep Learning, Git, Pandas, Scikit Learn, Information Technology, Software Version Control
- **Published:** November 6, 2026
- **Apply:** https://startup.jobs/lead-bioinformatics-machine-learning-scientist-epigenomics-natera-10696755

## About the Role

* 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

## Description

* 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