Lead Computational Biologist

About the Role

Our client is seeking a highly skilled Lead Computational Biologist to drive data-driven insights within their innovative R&D department based in Newcastle upon Tyne . You will be instrumental in developing and applying advanced computational and statistical methodologies to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. This role offers the opportunity to shape the direction of research by extracting actionable intelligence from complex data, fostering a culture of innovation and scientific rigor. You will collaborate closely with experimental biologists and bioinformaticians to translate computational findings into tangible research progress, making a significant contribution to the company's scientific objectives.

Key Responsibilities

• Develop, implement, and maintain sophisticated computational pipelines for the analysis of large biological datasets (genomics, transcriptomics, proteomics).
• Apply advanced statistical modeling and machine learning techniques to identify patterns, biomarkers, and therapeutic targets.
• Collaborate with experimental teams to design studies, interpret results, and guide future research directions.
• Supervise and mentor a team of computational biologists and bioinformaticians, fostering a collaborative and productive environment.
• Contribute to the development of internal tools and databases for data management and analysis.
• Present complex findings clearly and concisely to both technical and non-technical audiences.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a closely related field.
• Extensive experience (7+ years) in computational biology, with a significant portion in a leadership or supervisory role.
• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R) and experience with high-performance computing environments.
• Deep understanding of statistical methods, machine learning algorithms, and biological data analysis.
• Experience with large-scale biological data types (e.g., NGS, RNA-Seq, ChIP-Seq).
• Strong communication and interpersonal skills, with the ability to lead and motivate a team.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive private healthcare and dental coverage.
• Generous pension contributions and life insurance.
• Significant opportunities for career advancement and professional development.
• State-of-the-art research facilities in Newcastle upon Tyne .