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Freelance Bioinformatics Machine Learning Jobs (NOW HIRING)

Baylor Genetics

Education: * Master's or higher degree (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science or related quantitative field. * Experience: * 8+ years of ...

Baylor Genetics

Lead Bioinformatics AI Scientist

Education: * Master's or higher degree (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science or related quantitative field. * Experience: * 8+ years of ...

Profluent

Research Intern, Computational

Emeryville, CA · On-site +1

$1.67K/wk

We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning. This is a rare opportunity to tackle open-ended ...

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

... machine learning algorithms for implementation within the ROSALIND multi-tenant SaaS platform • Be flexible and passionate about bioinformatics alchemy to support greater discovery into biology ...

New

Arc Institute

PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field. * Minimum of 5 years of experience working in/with machine learning, well versed in frameworks such as Pytorch ...

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

As of May 28, 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 are the key skills and qualifications needed to thrive as a Freelance Bioinformatics Machine Learning Specialist, and why are they important?

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 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 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:
Freelance Bioinformatics Machine Learning jobs near you
Infographic showing various Freelance Bioinformatics Machine Learning job openings in the United States as of May 2026, with employment types broken down into 9% Internship, 13% As Needed, 53% Part Time, 17% Temporary, 4% Contract, and 4% Nights. Highlights an 9% Physical, 55% Hybrid, and 36% Remote job distribution, with an average salary of $64,999 per year, or $31.2 per hour.

Staff Bioinformatics / Machine Learning Scientist

Exactsciences

La Jolla, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Help us change lives

At Exact Sciences, we're helpingchange how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.

Position Overview

Staff Bioinformatics and Machine Learning Scientist will lead the development and application of machine learning, statistical modeling, and bioinformatics for next-generation sequencing-based products. This individual will serve as a senior technical leader within Research and Development, working cross-functionally with bioinformatics, assay development, data engineering, software development, quality and product development teams.

The ideal candidate has deep experience analyzing large and complex biological datasets in an industry setting and has demonstrated successful development, validation and deployment of algorithms, statistical and machine learning models using principled and reproducible methodology.

This is a senior individual contributor role requiring strong scientific and technical leadership, and the ability to translate complex genomic data into insights and products.

Essential Duties

Include, but are not limited to, the following:

  • Lead the development, evaluation and optimization of machine learning and statistical models for high-dimensional NGS and genomics datasets.
  • Design and implement bioinformatics algorithms to support NGS assay development, analytical performance evaluation, quality control, signal detection, classification, or interpretation.
  • Collaborate with wet-lab scientists to design experiments, interpret results, identify technical issues, and recommend next steps.
  • Apply rigorous statistical and computational methods to evaluate assay performance, reproducibility, robustness, sensitivity, specificity, and sources of technical or biological variation.
  • Develop reproducible analysis workflows using modern bioinformatics, data science, and software engineering practices.
  • Work within cloud computing environments to process, analyze, and manage large-scale sequencing datasets.
  • Present and summarize complex technical findings effectively to cross-functional audiences.
  • Serve as subject matter expert for NGS bioinformatics, machine learning and statistical analysis.
  • Identify opportunities and build out proof of concept implementations for new state-of-the-art methodology across machine learning, bioinformatics and software engineering
  • Provide guidance and mentorship to junior team members.
  • Support development activities within a quality-managed or regulated environment.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to work on a computer and phone simultaneously.
  • Ability to travel 10% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications

  • Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a Ph.D.; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D.
  • 8+ years of industry or academia experience in bioinformatics.
  • 6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Demonstrated experience in developing statistical and quantitative methods.
  • Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics.
  • Demonstrated expertise in product/assay research, design, or development.
  • Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint.
  • Demonstrated ability to perform the Essential Duties of the position with or without accommodation.

Preferred Qualifications

  • 10+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Deep expertise in NGS bioinformatics and genomic data analysis.
  • Practical experience effectively leveraging AI in regulated environments
  • Experience with modern cloud-based MLOps systems
  • Experience developing and applying advanced linear and non-linear statistical learning methods on complex datasets, including but not limited to supervised and unsupervised machine learning techniques.
  • Familiarity with applying deep learning to high dimensional data.
  • Previous experience as a project lead for a team of scientists.
  • 2+ years of direct people leadership and management experience.
  • Experience in a pharmaceutical or biotech manufacturing environment, preferably in a GMP and/or ISO environment.
  • Previous industry experience in product development or technical support.
  • Previous experience working in molecular diagnostics.
#LI-CB1

Salary Range:

California Ranges: $154,400.00 - $231,600.00

The annual base salary shown is for this position located in US - CA - La Jolla on a full-time basis. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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