Bioinformatics Machine Learning Expert

OpenTrain AI, Inc.; United States; Remote; USD 199,000 - 283,000; Part time

Job summary

OpenTrain AI, Inc. seeks an expert-level ML and bioinformatics contractor to work remotely on genomic, transcriptomic, proteomic, and multi-omics data. You will build reproducible pipelines and document methods and decisions.

You will apply both supervised and unsupervised learning, develop models, and ensure scalable workflows using tools like GATK, STAR, and Nextflow. Fluency in English is required; a master’s or PhD in a quantitative field is expected.

Qualifications

• Expert-level, part-time contractor role in bioinformatics and ML.
• Professional fluency in English.
• Master's degree or PhD in a quantitative field.
• Demonstrated research experience in ML and bioinformatics.

Responsibilities

• Apply supervised and unsupervised learning to genomic, transcriptomic, proteomic, and multi-omics data.
• Build, train, and evaluate ML models for bioinformatics tasks.
• Design scalable pipelines with ML components.
• Document methods, assumptions and technical decisions.

Skills

Machine learning

Bioinformatics

Genomics

Transcriptomics

Multi-omics

Independent work

Education

Master's degree

PhD

Tools

GATK

STAR

DESeq2

Nextflow

Snakemake

Job description

Use machine learning and bioinformatics expertise to build models and reproducible pipelines for genomic, transcriptomic, proteomic, and multi-omics data at $175 per hour.

Remote Hourly · $175/hr

$175/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 95 countries

United States + more

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Côte d’Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will work with biological datasets and apply machine learning to bioinformatics research. Your work may support variant calling, gene expression analysis, pathway modeling, and other biological applications.

You will also build reproducible analysis pipelines, explain your methods clearly, and document model assumptions and technical decisions.

• Apply supervised and unsupervised learning to genomic, transcriptomic, proteomic, and multi-omics data.
• Build, train, and evaluate machine learning models for bioinformatics applications.
• Design and improve scalable pipelines that include machine learning components.
• Document methods, assumptions, and technical approaches so the work can be reproduced.
• Use standard bioinformatics tools such as GATK, STAR, DESeq2, Nextflow, Snakemake, or similar tools.

What it pays and takes

This is an expert-level, part-time contractor role for someone who can work independently on technical research tasks. The role is open to candidates in the countries listed for this opportunity.

• Pay: $175 per hour.
• Time: 20 or more hours per week.
• Language: Professional fluency in English.
• Education: A master's degree or PhD in bioinformatics, computational biology, computer science, data science, or a related quantitative field.
• Research: At least one first-author publication in a peer-reviewed journal.
• Experience: Demonstrated expertise in both machine learning and bioinformatics, including areas such as sequence analysis, genomics, transcriptomics, or related biological data.
• Skills: Strong problem-solving ability and the ability to work independently on technical tasks.

Helpful background

Experience teaching or assisting with bioinformatics, machine learning, or computational biology courses is useful. Familiarity with biological foundation models or large-scale omics machine learning frameworks is also helpful.

• Experience with tools such as GATK, STAR, DESeq2, Nextflow, or Snakemake.
• Familiarity with scVI, DNABERT, Enformer, or similar omics machine learning frameworks.
• Background as a teaching assistant or instructor for bioinformatics, machine learning, or computational biology.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training uses examples and human review to improve how artificial intelligence systems work. People with deep subject knowledge are needed to create, assess, and explain high-quality technical examples, including work involving biology and machine learning.