Bioinformatics Machine Learning Expert
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.
Hiring companyAfterQuery Experts
About the role
This is a remote, project-based role for machine learning professionals with deep expertise in bioinformatics.
This position offers exceptional pay, exposure to cutting-edge biotech problems, and a strong addition to your research portfolio.
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.
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 skills
- 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.
Preferred skills
- 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).
Experience and education
- Published researcher with at least one first-author publication in a peer-reviewed journal.
- Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related quantitative field.
Assessment requirements
Resume
Schedule details
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.
Time Commitment: 10 hours/week.
Start Date: ASAP.
End Date: Ongoing.
Eligibility
Work arrangement: Fully remote
Compensation details
- $150 - $200/hr.
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