Lead Computational Biologist

About the Role

Our client is seeking an accomplished Lead Computational Biologist to join their forward-thinking research team in Coventry . In this critical leadership role, you will be responsible for developing and implementing advanced computational strategies to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. You will work at the forefront of data-driven biological discovery, collaborating closely with experimental biologists and bioinformaticians to uncover novel insights that accelerate our client's research programs. This is an exciting opportunity to shape the computational biology function and contribute significantly to groundbreaking scientific advancements within a well-established research institution located in the heart of the West Midlands .

Key Responsibilities

• Lead the development and application of computational and statistical methods for the analysis of complex biological data.
• Design and manage bioinformatics pipelines for next-generation sequencing (NGS) data.
• Collaborate with experimental teams to formulate research questions addressable through computational analysis.
• Interpret and present complex biological findings to diverse audiences, including scientific and non-scientific stakeholders.
• Supervise and mentor a team of computational biologists and bioinformaticians, ensuring project success and professional growth.
• Stay abreast of the latest advancements in computational biology, bioinformatics, and machine learning relevant to drug discovery.

Requirements

• PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
• Extensive experience (7+ years) in computational biology or bioinformatics, with a strong focus on analyzing omics data.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and databases.
• Proven ability to manage projects and lead a scientific team.
• Strong understanding of biological pathways, gene regulation, and disease mechanisms.
• Excellent communication and interpersonal skills for effective collaboration.

Benefits

• Highly competitive salary and significant performance-related incentives.
• Comprehensive private health, dental, and vision insurance plans.
• Generous annual leave allowance and company holidays.
• Access to state-of-the-art computational resources and training.
• Relocation assistance may be available for exceptional candidates.