Bioinformatics Machine Learning Expert

Description

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 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