Senior Bioinformatics Scientist – Multi-Cancer Early Detection

Natera

. Develop and validate new algorithms to analyze large multimodal epigenomic datasets .

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $119,000 - $163,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating algorithms for analyzing multimodal epigenomic datasets, with strong proficiency in Python and statistical methods for high-throughput sequencing data. Capable of collaborating with molecular biologists and presenting complex findings to diverse audiences.

Highest-signal resume keywords

Ph.D. In BioinformaticsAlgorithm DevelopmentHigh-Throughput Sequencing Data AnalysisStatistical And ML MethodsPython Proficiency

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Hard Skills

Algorithm DevelopmentData AnalysisStatistical MethodsMachine LearningPython ProgrammingLinux Command-Line ToolsCloud ComputingData Quality ControlWorkflow ValidationEpigenomic Data Analysis

Soft Skills

Strong Communication SkillsQuantitative Reasoning

Industry Keywords

BioinformaticsCancer GenomicsClinical ValidationLiquid BiopsyDNA MethylationClinical CohortsAI ToolsFoundation Models

Tech Stack

Tools & technologies

CloudLinuxPython

About the role

Key responsibilities & impact

Develop and validate new algorithms to analyze large multimodal epigenomic datasets
Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines
Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control
Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems
Visualize results and present complex findings to technical and non-technical audiences
Contribute to the team’s standards for code quality and reproducibility
Advance methods from prototype through scalable implementation toward clinical validation and patients

Requirements

What you’ll need

Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience
Track record developing and validating analysis workflows for high-throughput sequencing data
Experience applying and evaluating statistical and ML methods to large datasets
Strong quantitative reasoning and data analysis skills applied to real scientific problems
Software development experience, including proficiency in Python and its scientific computing ecosystem
Fluent using Linux command-line tools and cloud computing environments
Strong verbal and written communication skills
Working knowledge of DNA methylation and other epigenomic data
Experience with cell-free DNA and liquid biopsy samples
Background in cancer genomics or diagnostics
Experience working with data and metadata from large clinical cohorts
Familiarity using AI tools for complex scientific tasks and with foundation models applied to biological data

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