Lead Bioinformatics, Machine Learning Scientist – Epigenomics

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $146k - $180k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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This company has sponsored H1B visas in the past.

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• Drive technical workstreams from problem definition through delivery of final classifiers to downstream validation teams • Design, implement, and validate novel machine learning and statistical methods for cancer diagnostics • Establish best practices in model interpretability, uncertainty estimation, and reproducibility • Design feature engineering and extraction pipelines for cfDNA methylation and sequencing data • Collaborate with molecular biologists on experimental design, data integrity, and quality control • Mentor scientists and foster innovation, collaboration, and scientific excellence • Lead and participate in code and design reviews

🎯 Requirements

• PhD in Bioinformatics, Computer Science, Machine Learning, Statistics, or a related quantitative field • 4 to 8+ years of post-PhD experience • Hands-on experience in cancer genomics or epigenomics • Strong foundation in quantitative reasoning, statistical analysis, and applied machine learning • 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, and scikit-learn • Experience with Linux command-line tools, shell scripting, Git, workflow managers such as Nextflow or Snakemake, and cloud or HPC compute environments • Ability to perform hypothesis-driven research, visualize findings, and summarize results orally and in writing • Experience mentoring or technically leading other scientists

🏖️ Benefits

• 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

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