Bioinformatics Researcher

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves building reproducible pipelines for genomics and proteomics data, applying machine learning and statistical methods to sequence, expression, or imaging datasets. Surface meaningful biological signals that drive scientific discovery and AI-powered biological research. Ideal for candidates at the intersection of biology, data science, and machine learning. Qualifications Background in bioinformatics, computational biology, or related fields. Proficient in Python and R, with libraries like pandas, NumPy, SciPy, and scikit-learn. Hands-on experience with Biopython and formats like FASTA and VCF. Skilled in building reproducible pipelines for large-scale biological data. Understanding of genomics, proteomics, and molecular biology datasets. Experience with statistical modeling and ML methods for biological data. Use of Jupyter notebooks or similar tools for experimentation and collaboration. Care about bridging biology, computation, and AI research. Requirements Design and implement reproducible pipelines for genomics, proteomics, and imaging datasets. Apply machine learning and statistical models to biological sequence and expression data. Use Biopython and scikit-learn to extract meaningful biological signals. Work with FASTA, VCF, and related data formats in large-scale pipelines. Collaborate with AI researchers and biologists to integrate bioinformatics into research. Document workflows to ensure reproducibility and transparency in biological analysis. Benefits Classified as an hourly contractor to Mercor. Paid weekly via Stripe Connect, based on hours logged. Part-time (20–30 hrs/week) with flexible hours—work from anywhere, on your schedule. Weekly Bonus of $500–$1000 USD per 5 tasks. Remote and flexible working style.