Senior Bioinformatics Scientist

Natera•San Carlos, CA

12h•$130,700 - $163,400

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, the scientist will design and implement computational solutions, develop algorithms and pipelines, and analyze complex genomic datasets to advance early-stage cancer diagnostics. The position calls for someone able to contribute as an individual contributor, co-developer, and participant in large-scale cross-departmental initiatives. The role involves developing and validating algorithms and statistical models for large-scale genomic data; building and deploying automated workflows for clinical diagnostics; and collaborating with wet-lab scientists and statisticians. The position is eligible for additional compensation and benefits through Natera’s Total Rewards program. The stated base compensation range is $130,700–$163,400 USD.

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 cross-functional stakeholders.
Expertise in high-throughput DNA sequencing analysis, including sequence alignment, mapping, and clinical-grade variant calling.
Track record of developing high-impact bioinformatics methodologies.
Advanced knowledge of data structures, algorithm design, and computational complexity analysis.
High proficiency in Python and scientific libraries including NumPy, Pandas, and Scikit-learn.
Experience with workflow orchestration languages for scalable bioinformatics pipelines.
Experience with cloud-based distributed computing environments, specifically AWS.
Familiarity with analytical techniques and biomarkers in cancer biology.
Working knowledge of public genomic databases such as TCGA, COSMIC, or OncoKB.
Proficiency in Linux, command-line tools, and shell scripting.

Nice To Haves

Experience with WDL for workflow orchestration.

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 pipelines and collaborate with wet-lab scientists and statisticians to meet research milestones.