Bioinformatics Researcher

Hiring a Bioinformatics Researcher on behalf of a leading AI lab. In this role, you’ll build reproducible pipelines for genomics and proteomics data, applying machine learning and statistical methods to sequence, expression, or imaging datasets. You’ll surface meaningful biological signals that drive scientific discovery and AI-powered biological research. This position is ideal for candidates at the intersection of biology, data science, and machine learning.

You’re a great fit if you:

Have a background in bioinformatics, computational biology, or related fields.

Are proficient in Python and R, with libraries like pandas, NumPy, SciPy, and scikit-learn.

Have hands-on experience with Biopython and formats like FASTA and VCF.

Are skilled in building reproducible pipelines for large-scale biological data.

Understand genomics, proteomics, and molecular biology datasets.

Have experience with statistical modeling and ML methods for biological data.

Use Jupyter notebooks or similar tools for experimentation and collaboration.

Care about bridging biology, computation, and AI research.

Primary Goal of This Role

To design and implement reproducible pipelines for genomics, proteomics, and imaging datasets, applying ML and statistics to uncover biological insights.

What You’ll Do

Build and maintain pipelines for genomics and proteomics datasets.

Apply machine learning and statistical modelsto 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.

Why This Role Is Exciting

You’ll drive discovery at the intersection of AI and biology.

You’ll apply ML and statistical tools to cutting-edge biological datasets.

You’ll help unlock insights in genomics, proteomics, and imaging data.

You’ll build the foundation for AI-powered breakthroughs in life sciences.