Head of Computational Biology

Barrington James; Cambridge; On-site; GBP 120,000 - 160,000; Full time

Job summary

Barrington James in Cambridge is seeking an experienced Head of Computational Biology to lead and grow the computational biology capability. The role sits at the interface of computational biology, genomics, data science and drug discovery, guiding strategy and prioritising impactful analyses.

You will lead a senior team, shape the scientific direction, and drive multi-omics projects using Python/R, ML/AI methods, and reproducible workflows, collaborating with wet-lab, bioinformatics and

Qualifications

• PhD or equivalent in computational biology, bioinformatics, genomics, systems biology or related discipline.
• Significant industry or academic experience in computational biology.
• Experience leading and developing scientific teams.
• Strong expertise in genomics, transcriptomics, single-cell, multi-omics or related computational biology approaches.
• Experience using programming and data-analysis tools such as Python or R.
• Understanding of machine learning and AI applications in biological research.
• Track record of delivering computational insights that influence scientific decision-making.
• Excellent communication and stakeholder-management skills.

Responsibilities

• Lead and develop a high-performing computational biology team.
• Set the strategic direction for computational biology across the organisation.
• Apply computational approaches to complex biological and therapeutic questions.
• Work closely with experimental biology, bioinformatics, data science and drug discovery teams.
• Drive the analysis and interpretation of genomic, transcriptomic, single-cell and multi-omics datasets.
• Identify and implement emerging approaches in machine learning, AI and computational biology.
• Build robust, scalable and reproducible computational workflows.
• Establish external collaborations with academic and industry partners.
• Communicate computational insights and scientific strategy to senior stakeholders.

Skills

Leadership

Genomics

Transcriptomics

Single-cell

Multi-omics

Python

R

ML/AI in biology

Stakeholder management

Education

PhD in Computational Biology or related

Tools

Python

R

Job description

A leading life sciences organisation in Cambridge is looking to appoint an experienced Head of Computational Biology to lead and develop its computational biology capability.

This is an exciting opportunity for an established computational biology leader to take a strategic role in a highly collaborative scientific environment, working at the interface of computational biology, genomics, data science and drug discovery.

Key Responsibilities

• Lead and develop a high-performing computational biology team.
• Set the strategic direction for computational biology across the organisation.
• Apply computational approaches to complex biological and therapeutic questions.
• Work closely with experimental biology, bioinformatics, data science and drug discovery teams.
• Drive the analysis and interpretation of genomic, transcriptomic, single-cell and multi-omics datasets.
• Identify and implement emerging approaches in machine learning, AI and computational biology.
• Build robust, scalable and reproducible computational workflows.
• Establish external collaborations with academic and industry partners.
• Communicate computational insights and scientific strategy to senior stakeholders.

About You

We are looking for a senior computational biology professional with a strong scientific background and proven leadership experience.

• A PhD or equivalent experience in computational biology, bioinformatics, genomics, systems biology or a related discipline.
• Significant industry or academic experience in computational biology.
• Experience leading and developing scientific teams.
• Strong expertise in genomics, transcriptomics, single-cell, multi-omics or related computational biology approaches.
• Experience using programming and data-analysis tools such as Python or R.
• An understanding of machine learning and AI applications in biological research.
• A track record of delivering computational insights that influence scientific decision-making.
• Excellent communication and stakeholder-management skills.