Senior Bioinformatics Scientist

Natera•San Carlos, CA

5d•$130,700 - $163,400

About The Position

Natera is seeking a Senior Bioinformatics Scientist to join our Bioinformatics team dedicated to early cancer detection. As a core member of the Research and Development department, you will play a pivotal role in designing and implementing innovative computational solutions. The ideal candidate possesses a robust background in algorithm development, high-throughput biological data analysis, and scalable pipeline architecture. We are looking for a versatile professional capable of thriving as an individual contributor, a collaborative co-developer, and a key participant in large-scale, cross-departmental initiatives. In this role, you will develop novel algorithms and pipelines while analyzing complex genomic datasets to advance the frontiers of early-stage cancer diagnostics.

Requirements

PhD in Bioinformatics, Computer Science, Engineering, Statistics, Cancer Biology or similar field
0–3 years of professional or postgraduate experience in bioinformatics or computational biology.
Excellent communication skills with a demonstrated ability to present complex computational findings to diverse cross-functional stakeholders.
Deep expertise in high-throughput DNA sequencing (NGS) analysis, including sequence alignment, mapping, and clinical-grade variant calling.
A proven 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 (NumPy, Pandas, Scikit-learn) for data manipulation and automation.
Experience with workflow orchestration languages (WDL preferred) 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.

Responsibilities

Innovate, design, develop, and validate advanced 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, ensuring robust performance for variant calling, fusion detection, and automated quality control.
Contribute to rigorous code reviews, maintain comprehensive technical documentation, and drive the continuous optimization of core computational infrastructure.
Analyze complex multi-omic data using high-performance internal pipelines, collaborating closely with wet-lab scientists and statisticians to meet critical research milestones.