Sobre

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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.