Computational Biologist

ZipRecruiter; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company in London is seeking a highly motivated computational biologist to leverage advanced AI models in addressing complex biological challenges. This role involves analyzing large-scale omics data to generate actionable insights for discovery and development, collaborating with R&D teams, and contributing to innovative solutions.

Qualifications

• MSc or PhD in Computational Biology, Bioinformatics, or related field required.
• Strong Python programming skills needed.
• Experience with single cell data and machine learning methods important.

Responsibilities

• Analyze complex biological datasets including transcriptomics and single-cell data.
• Apply and adapt machine learning models for discovery and development.
• Communicate scientific findings clearly to diverse stakeholders.

Skills

Python programming

Machine learning methods

Computational biology methods

Single cell data

Data analysis

Education

MSc or PhD in Computational Biology, Bioinformatics

Job description

Job Description

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

• 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