ZipRecruiter

Log In

1

Freelance Bioinformatics Machine Learning Jobs (NOW HIRING)

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 ...

New

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 ...

next page

Showing results 1-20

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 Aug 20, 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:

Freelance Bioinformatics Machine Learning jobs near you
Infographic showing various Freelance Bioinformatics Machine Learning job openings in the United States as of August 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $64,999 per year, or $31.2 per hour.

Bioinformatics Scientist

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

Job description

Professional Responsibilities
  • Develop, tune, and optimize novel assays, algorithms, machine learning and statistical models to analyze next-generation sequencing (NGS) and multimodal data for oncology biomarker detection from cell-free DNA
  • Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation and longitudinal treatment response monitoring
  • Improve molecular barcoding filtering strategies to distinguish low-frequency oncology biomarkers from sequencing artifacts
  • Design and integrate machine learning classifiers and filtering logic to differentiate Clonal Hematopoiesis variants from tumor-derived variants
  • Design and execute experiments evaluating assay analytical performance
  • Support regulatory documentation for CAP/CLIA, New York State, FDA, and MolDx submissions
  • Collaborate with wet-lab assay development scientists, medical directors, clinical scientists, biostatisticians, software engineers, and product managers
  • Translate research into clinically actionable insights and production-scale pipelines
Requirements
  • Must have completed a Ph.D. or a Master's with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science
  • In-depth knowledge of tools and pipelines for processing, aligning, and analyzing multimodal NGS data, including epigenetics, DNA, and RNA
  • Computational skills using Python and/or R, including data science and biological computing libraries
  • Expertise with AWS or GCP, Docker, and workflow management tools such as Nextflow or Snakemake
  • Scientific publications and/or contribution to successful industry product development
  • Strong background in statistical modeling, predictive/prognostic algorithms, and machine learning techniques
  • Effective communication and presentation skills
  • Self-driven and able to work well in interdisciplinary teams
Core Competencies

Demonstrates expertise in developing and optimizing machine learning models for analyzing next-generation sequencing data, with a strong focus on oncology biomarker detection and regulatory compliance. Proficient in translating complex research into actionable clinical insights and production-scale pipelines.

Highest-signal resume keywords
  • Ph.D. Or Master's In Bioinformatics
  • Machine Learning Model Development
  • Next-Generation Sequencing Data Analysis
  • Statistical Modeling And Predictive Algorithms
  • AWS Or GCP Expertise
ATS Optimization KeywordsHard Skills
  • Machine Learning
  • Statistical Modeling
  • Data Analysis
  • Bioinformatics
  • Computational Biology
  • Python
  • R
  • Molecular Biology
  • Cancer Biology
  • Genetics
Soft Skills
  • Effective Communication
  • Presentation Skills
  • Self-Driven
  • Team Collaboration
Industry Keywords
  • Oncology Biomarker Detection
  • Cell-Free DNA
  • Clonal Hematopoiesis
  • Regulatory Documentation
  • CAP/CLIA
  • FDA
  • MolDx
  • Multimodal Data
  • Assay Analytical Performance
  • Scientific Publications
Tools & Technologies
  • AWS
  • GCP
  • Docker
  • Nextflow
  • Snakemake
#J-18808-Ljbffr

Apply