Computational Biologist

Role Overview

We’re seeking a highly motivated computational biologist to partner with leading R&D teams in life sciences, applying advanced AI models to solve complex biological challenges. You’ll work at the interface of data science, biology, and product development — helping translate large-scale omics data into actionable insights for discovery and development.

In this high-impact, fast-moving role, you’ll prototype with cutting-edge machine learning tools, rapidly moving from concept to insight. You’ll collaborate closely with engineering and product teams to shape and refine innovative solutions that address real-world biological problems.

Key Responsibilities

• Partner with scientific and technical teams to analyze complex biological datasets (e.g., transcriptomics, single-cell data)
• Apply and adapt machine learning models to address problems in discovery and development
• Rapidly prototype and iterate on computational approaches to generate insights
• Communicate findings clearly across technical and non-technical audiences
• Contribute to shaping data products and internal tools

Requirements

Essential

• MSc or PhD in Computational Biology, Bioinformatics, or a related field
• Strong Python programming skills
• Experience working with single cell data
• Familiarity with recent machine learning methods relevant to omics data
• Understanding of modern AI/ML techniques (e.g., model fine-tuning, representation learning)
• Strong foundation in computational biology methods
• Ability to clearly articulate scientific findings to diverse stakeholders
• Customer- and product-focused mindset

Preferred

• Prior experience in industry (biotech, pharma, or related sectors)
• Contributions to open-source bioinformatics or computational biology tools
• Exposure to advanced model architectures (e.g., Transformers, sequence models, probabilistic models)
• Experience supporting discovery or development projects