ZipRecruiter

Log In

1

Freelance Bioinformatics Machine Learning Jobs (NOW HIRING)

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers * Design and execute end-to-end analytical ...

Natera

Senior Bioinformatics Scientist

San Carlos, CA · On-site

Develop, train, and evaluate machine learning models, driving algorithm design decisions that ... D. in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related field, with a ...

Apple

Machine Learning Engineer - Health AIML

Cupertino, CA · On-site

$216K - $324K/yr

D. in Computer Science, Machine Learning, Bioinformatics, or a related field. Strong background in generative models, natural language processing (NLP), and large language models (LLMs). 5+ years of ...

Natera

Senior Bioinformatics Scientist

OR · On-site +1

Develop, train, and evaluate machine learning models, driving algorithm design decisions that ... D. in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related field, with a ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis. Responsibilities: * Address bioinformatics, scientific computing, and data ...

previous pagenext page

Showing results 21-40

All JobsFreelance JobsTechnology JobsData JobsBioinformatics Scientist JobsFreelance Bioinformatics Machine Learning Jobs

Freelance Bioinformatics Machine Learning information

See salary details

$9

$31

$52

How much do freelance bioinformatics machine learning jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for freelance bioinformatics machine learning in the United States is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $50.48 per hour, depending on experience, location, and employer.

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

More about Freelance Bioinformatics Machine Learning jobs

What cities are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities with the most Freelance Bioinformatics Machine Learning job openings:

What are the most commonly searched types of Bioinformatics Machine Learning jobs?

The most popular types of Bioinformatics Machine Learning jobs are:

What states have the most Freelance Bioinformatics Machine Learning jobs?

States with the most job openings for Freelance Bioinformatics Machine Learning jobs include:

What job categories do people searching Freelance Bioinformatics Machine Learning jobs look for?

The top searched job categories for Freelance Bioinformatics Machine Learning jobs are:

What other helpful pages are available for Freelance Bioinformatics Machine Learning?

Other pages related to Freelance Bioinformatics Machine Learning:

Freelance Bioinformatics Machine Learning jobs near you
Infographic showing various Freelance Bioinformatics Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $64,999 per year, or $31.2 per hour.

Senior Bioinformatics Scientist, Translational Bioinformatics

Hayward, CA • On-site

Predicine
Biotechnology Research and Development • 11 - 50 employees
Learn more about Predicineexternal

Other

Posted 24 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior Bioinformatics Scientist, Translational Bioinformatics

Full Time Hayward, CA, US

About 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 Time

Responsibility

35% 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

Minimum

Preferred

Level Master's degree with 5+ years of relevant experience Doctorate (PhD)

Field of Study Bioinformatics, Computational Biology, Biostatistics, Genomics, Molecular Biology, Cancer Biology, or related field Same fields

Experience

Minimum

Preferred

Work Experience 3+ years post-graduation with hands-on NGS analysis and client-facing collaboration experience Pharmaceutical 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.

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

#J-18808-Ljbffr

Apply