Bioinformatics Machine Learning Expert

This is a remote, project-based role for machine learning professionals with deep expertise in bioinformatics. You will complete tasks at the intersection of ML and biological data analysis - including model development, pipeline construction, and research tasks applied to real genomic, transcriptomic, or multi-omics datasets. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge biotech problems, and a strong addition to your research portfolio.

Responsibilities

• Apply machine learning techniques to biological datasets, including genomic, transcriptomic, proteomic, or multi-omics data
• Build, train, and evaluate ML models tailored to bioinformatics applications such as variant calling, gene expression analysis, or pathway modeling
• Develop predictive models using supervised and unsupervised learning approaches relevant to biological systems
• Design and optimize bioinformatics pipelines integrating ML components for scalable, reproducible analysis
• Document methodologies, model assumptions, and technical approaches clearly and reproducibly

Required qualifications

• Published researcher with at least one first-author publication in a peer-reviewed journal
• Demonstrated expertise in both machine learning and bioinformatics (e.g., sequence analysis, genomics, transcriptomics, or related biological data domains)
• Strong problem-solving skills and ability to work independently on technical tasks
• Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related quantitative field

Preferred qualifications

• Experience with standard bioinformatics tools and workflows (e.g., GATK, STAR, DESeq2, Nextflow, Snakemake, or similar)
• Background in TA'ing or teaching bioinformatics, ML, or computational biology courses
• Familiarity with biological foundation models or large-scale omics ML frameworks (e.g., scVI, DNABERT, Enformer)

Why apply

• Exceptional Pay – Project-based pay ranges from $150–$200/hour
• Startup Exposure – Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart
• Flexible Time Commitment – Work on your schedule while tackling meaningful scientific challenges
• Portfolio Building – Gain experience applying ML to frontier bioinformatics problems
• Professional Growth – Sharpen your skills on complex, real-world biological datasets and models

Where you can work

This role is 100% remote: you can work from any country except Andorra, Afghanistan, Angola, Argentina, Azerbaijan, Barbados, Bangladesh, Burkina Faso, Burundi, Bolivia, Brazil, Belarus, Belize, DR Congo, Central African Republic, Congo (Republic), Chile, Cameroon, China, Colombia, Cuba, Cape Verde, Djibouti, Dominica, Dominican Republic, Egypt, Eritrea, Fiji, Micronesia, Gabon, Grenada, Georgia, Ghana, Gibraltar, Guinea, Equatorial Guinea, Guinea-Bissau, Honduras, Haiti, Iraq, Iran, Japan, Kyrgyzstan, Cambodia, Kiribati, Comoros, St. Kitts and Nevis, North Korea, South Korea, Kazakhstan, Laos, Lebanon, Liberia, Lesotho, Libya, Monaco, Montenegro, Marshall Islands, Mali, Myanmar, Macau, Mauritania, Maldives, Malawi, Niger, Nigeria, Nicaragua, Nepal, Nauru, Papua New Guinea, Palestine, Palau, Paraguay, Russia, Saudi Arabia, Solomon Islands, Seychelles, Sudan, Sierra Leone, San Marino, Somalia, Suriname, South Sudan, São Tomé and Príncipe, Syria, Eswatini, Chad, Togo, Tajikistan, Timor-Leste, Turkmenistan, Tonga, Tuvalu, Ukraine, Uganda, Uruguay, Vatican City, St. Vincent and Grenadines, Venezuela, Vanuatu, Samoa, Yemen, Zambia and Zimbabwe.