Senior Bioinformatics Scientist

Natera

1d • $117,400 - $146,800 • Remote

About The Position

Natera is seeking a Senior Bioinformatics Scientist to join its Bioinformatics team dedicated to early cancer detection. As a core member of the Research and Development department, this role designs and implements computational solutions, develops algorithms and pipelines, and analyzes complex genomic datasets to advance early-stage cancer diagnostics. The ideal candidate brings experience in algorithm development, high-throughput biological data analysis, and scalable pipeline architecture, and can contribute independently, collaboratively, and across large cross-departmental initiatives.

Requirements

• Ph.D. in Bioinformatics, Computer Science, Statistics, Cancer Biology, or a related quantitative field.
• 0–3 years of professional or postgraduate experience in bioinformatics or computational biology.
• Excellent communication skills and ability to present complex computational findings to diverse cross-functional stakeholders.
• Expertise in high-throughput DNA sequencing (NGS) analysis, including sequence alignment, mapping, and clinical-grade variant calling.
• Track record of developing state-of-the-art, high-impact bioinformatics methodologies.
• Advanced knowledge of data structures, algorithm design, and computational complexity analysis.
• High proficiency in Python and its scientific ecosystem, including NumPy, Pandas, and Scikit-learn.
• Experience with workflow orchestration languages for building and versioning scalable bioinformatics pipelines.
• Experience with cloud-based distributed computing environments, specifically AWS.
• Familiarity with contemporary analytical techniques and biomarkers in cancer biology.
• Working knowledge of public genomic databases such as TCGA, COSMIC, or OncoKB.
• Proficiency in Linux environments, including command-line tools and shell scripting.

Nice To Haves

• Experience with WDL, the preferred workflow orchestration language.

Responsibilities

• Design, develop, and validate algorithms and statistical models to extract actionable insights from large-scale genomic datasets for early cancer detection.
• Co-architect, implement, and deploy automated analysis workflows for clinical diagnostics, including variant calling, fusion detection, and automated quality control.
• Participate in code reviews, maintain technical documentation, and optimize core computational infrastructure.
• Analyze complex multi-omic data using internal high-performance pipelines.
• Collaborate with wet-lab scientists and statisticians to meet research milestones.

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.
• 401(k) benefits.
• Commuter benefits.
• Employee referral program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree