Lead Computational Biologist

About the Role

Our client is seeking an experienced and visionary Lead Computational Biologist to spearhead their data science initiatives in Newcastle upon Tyne . This crucial role involves developing and implementing advanced computational strategies to analyze large-scale biological datasets, uncovering insights that drive critical research and development decisions. You will lead a talented team of bioinformaticians and data scientists, guiding them in the application of machine learning, statistical modeling, and algorithm development to complex biological problems. This position offers a significant opportunity to shape the future of research at our client's facility, working with diverse datasets and collaborating with leading scientists in Tyne and Wear to translate data into actionable biological discoveries.

Key Responsibilities

• Lead the design and execution of computational biology projects, including genomic, transcriptomic, and proteomic data analysis.
• Develop and implement sophisticated algorithms and machine learning models for pattern recognition and predictive analytics in biological data.
• Manage and mentor a team of computational biologists and bioinformaticians, fostering their technical growth and project success.
• Collaborate closely with experimental biologists and clinicians to define research questions and interpret findings.
• Establish best practices for data management, code quality, and computational infrastructure.
• Present research findings to internal stakeholders and at scientific conferences.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a closely related quantitative field.
• Minimum of 7 years of progressive experience in computational biology or bioinformatics, with at least 2 years in a leadership or management role.
• Proficiency in programming languages such as Python or R, and experience with scientific libraries and frameworks.
• Deep understanding of statistical modeling, machine learning techniques, and their application to biological data.
• Experience with high-performance computing environments and cloud platforms.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences in Newcastle upon Tyne .

Benefits

• Highly competitive salary package and annual bonus opportunities.
• Hybrid working model offering flexibility between office and remote work.
• Comprehensive health, dental, and vision insurance plans.
• Generous professional development budget for courses, conferences, and training.
• Contributory pension scheme and life assurance.