Senior Bioinformatics Scientist

Natera

. Innovate, design, develop, and validate advanced algorithms and statistical models to extract actionable insights from large-scale genomic datasets for early cancer detection .

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $117,400 - $146,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing advanced algorithms and statistical models for genomic data analysis, with a strong foundation in high-throughput DNA sequencing and bioinformatics methodologies. Proficient in Python and cloud computing environments, with effective communication skills for cross-functional collaboration.

Highest-signal resume keywords

Ph.D. In BioinformaticsHigh-Throughput DNA Sequencing AnalysisPython ProficiencyWorkflow Orchestration LanguagesCloud-Based Distributed Computing (AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm DesignStatistical ModelingVariant CallingData StructuresComputational Complexity AnalysisMulti-Omic Data AnalysisAutomated Quality ControlSequence AlignmentMappingBioinformatics Methodologies

Soft Skills

Excellent Communication SkillsCollaboration

Tools & Technologies

Python Scientific Ecosystem (NumPy, Pandas, Scikit-learn)WDLLinux EnvironmentsCommand-Line ToolsShell Scripting

Industry Keywords

Genomic Databases (TCGA, COSMIC, OncoKB)Cancer BiologyClinical DiagnosticsAutomated Analysis Workflows

Tech Stack

Tools & technologies

AWSCloudLinuxNumpyPandasPythonScikit-LearnShell Scripting

About the role

Key responsibilities & impact

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, including variant calling, fusion detection, and automated quality control
Contribute to code reviews, maintain technical documentation, and drive continuous optimization of core computational infrastructure
Analyze complex multi-omic data using high-performance internal pipelines
Collaborate with wet-lab scientists and statisticians to meet critical research milestones

Requirements

What you’ll need

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 with 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
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)
Experience with workflow orchestration languages; WDL preferred
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 environments, including command-line tools and shell scripting

Benefits

Comp & perks

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