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Staff Bioinformatics Scientist – Oncology/MRD Algorithm Development
Illumina. Drive development of algorithms for detecting minimal residual disease in ctDNA samples using signals from small variant calling, copy number calling, fragmentomics, and methylation .
Posted 9/24/2026full-timeRemote • California • United StatesLead💰 $155,600 - $233,400 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in developing and improving bioinformatics algorithms for NGS analysis in clinical oncology, with strong proficiency in statistics and programming languages such as Python. Ability to communicate effectively across cross-functional teams and provide technical guidance to collaborators.
Highest-signal resume keywords
PhD In BioinformaticsNGS Algorithm DevelopmentFluency In StatisticsProgramming In PythonExperience In Oncology
ATS Keywords
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Hard Skills
Bioinformatics MethodsNGS AnalysisAlgorithm DevelopmentVariant DetectionMethylation AnalysisCopy Number CallingFragmentomicsStatistical AnalysisC++ Programming
Soft Skills
Good Communication SkillsCollaboration
Industry Keywords
Minimal Residual DiseaseClinical OncologyTherapy SelectionCross-Functional TeamsExperimental Design
Tech Stack
Tools & technologiesPythonC++
About the role
Key responsibilities & impact- Drive development of algorithms for detecting minimal residual disease in ctDNA samples using signals from small variant calling, copy number calling, fragmentomics, and methylation
- Assist in improving algorithms for therapy selection across a range of variant types and biomarkers
- Prototype novel NGS algorithms for clinical oncology use cases such as MRD
- Assess and improve existing secondary analysis algorithms for variant and biomarker detection
- Design and analyze experiments with external and internal experimental teams to support existing or new Illumina oncology assays
- Provide technical guidance to internal and external collaborators
- Participate in cross-functional assay and algorithm R&D teams with minimal oversight
- Communicate plans and results across functions
Requirements
What you’ll need- PhD in bioinformatics, computational biology, statistics, math, or related field with 3+ years industry experience
- Fluency in at least two of statistics, common bioinformatics methods, NGS analysis, and oncology
- Proven track record developing bioinformatics NGS algorithms beyond leveraging existing tools
- Fluency in programming languages such as Python
- Experience with C++ is desired
- Good communication skills to contribute to cross-functional project teams and work with stakeholders
- Ability to accommodate meeting times overlapping with Pacific time zone hours
- Successful completion of a background check may be required following a conditional offer
Benefits
Comp & perks- Variable cash program (bonus or commission)
- Equity for eligible roles
- Access to genomics sequencing
- Family planning benefits
- Health, dental, and vision benefits
- Retirement benefits
- Paid time off
- Employee Resource Groups offering career development experiences, cultural awareness, and social responsibility opportunities