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Senior Bioinformatics Machine Learning Jobs (NOW HIRING)

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

Position Summary: We have an exciting opportunity to join our team as a Sr. Bioinformatics ... machine learning • Prior experience working in CLIA environment is a plus • Experience in ...

Jobtailor

Bioinformatics Scientist

California, MO · On-site

$120 - $180/hr

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... D. or a Master's with 3+ years of industry experience in Bioinformatics, Computational Biology ...

Saviance

Senior Bioinformatics QA Engineer

The Senior Bioinformatics QA Engineer will be responsible for ensuring the quality, accuracy, and ... Preferred : • Experience with statistical analysis or machine learning in a biological context ...

St. Jude Children's Research Hospital

$104 - $186/hr

Senior Bioinformatics Research Scientist Location Memphis, TN Category Computational Sciences ... machine learning. The role involves working with large external biobank datasets such as All of US ...

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$84.5K

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How much do senior bioinformatics machine learning jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior bioinformatics machine learning in the United States is $102,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Bioinformatics Machine Learning vs Bioinformatics Data Analyst?

AspectSenior Bioinformatics Machine LearningBioinformatics Data Analyst
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; experience with machine learningBachelor's or master's in bioinformatics, biology, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, or pharma; focus on developing ML modelsData interpretation, reporting, and visualization in research or clinical settings
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data modelingCommon in healthcare, research, and biotech for data management and reporting

The main difference is that Senior Bioinformatics Machine Learning specialists focus on developing and applying machine learning models to biological data, requiring advanced technical skills. Bioinformatics Data Analysts primarily interpret and visualize data, with less emphasis on machine learning techniques.

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Senior Bioinformatics Machine Learning jobs near you
Infographic showing various Senior Bioinformatics Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $102,271 per year, or $49.2 per hour.

Senior Bioinformatics Scientist, Translational Bioinformatics

Hayward, CA • On-site

Predicine, Inc
Biotechnology Research and Development • 11 - 50 employees
Learn more about Predicine, Incexternal

Full-time

Posted 11 days ago

Job description

Location: Hayward, CA
Work Arrangement: TBD
Department: Translational Bioinformatics (NGS/Liquid Biopsy)
Employment Type: Full-TimeAbout Predicine

Predicine is a precision oncology company advancing the fight against cancer through cutting-edge genomic technologies and liquid biopsy solutions. We partner with pharmaceutical companies, clinicians, and researchers worldwide to bring next-generation diagnostics from bench to bedside — faster, smarter, and more accessible. Join a team where your work directly impacts patient outcomes and the future of cancer care.

Job Summary

We are seeking a highly motivated senior bioinformatics scientist to support NGS-based liquid biopsy studies and translational bioinformatics programs. The incumbent will analyze cfDNA/cfRNA, tissue, RNA-seq, multi-omics, and clinical data to develop biomarker testing strategies for cancer diagnosis and clinical applications. This is a client-facing scientist role — you'll represent the scientific team in technology meetings with pharmaceutical clients, KOLs, and client data scientists, translating client needs into analysis plans, result interpretation, and follow-up support with a client-success mindset. This is an exciting opportunity to join a fast-growing startup, accelerate your growth, and make a positive, immediate impact on cancer diagnosis and treatment.

What You'll Do

The Senior Bioinformatics Scientist, NGS and Liquid Biopsy will lead bioinformatics analysis in support of NGS-based liquid biopsy studies and translational bioinformatics programs. This role will analyze cfDNA/cfRNA, tumor tissue, RNA-seq, multi-omics, and clinical datasets to develop and refine biomarker testing strategies for cancer diagnosis and clinical applications. Serving as a client-facing scientific partner, the incumbent will represent the scientific team in technology meetings with pharmaceutical clients, KOLs, and client data scientists — translating client needs into analysis plans, interpreting results, and providing ongoing follow-up support with a client-success mindset. The position will also develop and improve computational pipelines, statistical models, and machine-learning approaches for sequencing QC, variant analysis, and study-specific analyses, while coordinating internal and external collaborations, scientific presentations, publications, and mentoring across translational bioinformatics projects.

Key Responsibilities & Time Allocation % of TimeResponsibility35%Bioinformatics Analysis Leadership — Lead bioinformatics analysis for NGS and liquid biopsy studies, including assay development, validation support, interpretation, and biomarker reporting.25%Multi-Omics Data Analysis — Analyze clinical, genomic, transcriptomic, proteomic, and other multi-omics datasets to identify biomarkers, targets, and tumor biology insights.20%Pipeline & Model Development — Develop and improve computational pipelines, statistical models, and machine-learning approaches for sequencing QC, variant analysis, annotation, and study-specific analyses.15%Client-Facing Scientific Partnership — Serve as a client-facing scientific partner in technology meetings, aligning scope, data interpretation, deliverables, and follow-up with clients and KOLs.5%Collaboration & Mentorship — Coordinate internal/external collaborations, scientific presentations, publications, and mentoring for translational bioinformatics projects.


What You Bring

Education


MinimumPreferredLevelMaster's degree with 5+ years of relevant experienceDoctorate (PhD)Field of StudyBioinformatics, Computational Biology, Biostatistics, Genomics, Molecular Biology, Cancer Biology, or related fieldSame fields


Experience


MinimumPreferredWork Experience3+ years post-graduation with hands-on NGS analysis and client-facing collaboration experiencePharmaceutical industry experience; tumor research publications or experience


Required Skills & Qualifications

  • Strong R and/or Python programming skills; familiarity with Unix/Linux and reproducible workflows
  • Hands-on NGS and liquid biopsy analysis experience, including cfDNA/cfRNA, tumor tissue, RNA-seq, or single-cell data
  • Experience with variant analysis, CNV/fusion analysis, MSI/TMB, multi-omics integration, statistics, or machine learning
  • Strong publication or meeting presentation record, with clear scientific writing skills
  • Excellent client-facing communication with pharma clients, KOLs, client data scientists, and internal cross-functional teams

Preferred Skills & Qualifications

  • Pharmaceutical industry experience
  • Tumor research publications or hands-on tumor research experience
Join Us
At Predicine, you won't just analyze data — you'll help translate cutting-edge genomic science into real diagnostic tools that change how cancer is detected and treated. If you're a scientist who thrives at the intersection of deep technical analysis and client partnership, we want to hear from you.

Apply today and help us turn breakthrough science into better patient outcomes.

Predicine is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply