Lead Computational Biologist

About the Role

Our client is seeking a highly skilled Lead Computational Biologist to spearhead their computational efforts in Newcastle upon Tyne . This role is crucial for advancing our understanding of biological systems through sophisticated data analysis and the development of novel algorithms. You will lead a team of computational biologists and bioinformaticians, driving the strategic direction of data science initiatives within the research division. The ideal candidate will possess a strong scientific background combined with deep expertise in computational methods, and a passion for applying these skills to solve complex biological challenges in a collaborative, forward-thinking environment focused on innovation and scientific rigor.

Key Responsibilities

• Lead the development and implementation of computational and statistical methods for analyzing large-scale biological datasets, including genomics, proteomics, and transcriptomics.
• Manage and mentor a team of computational biologists, providing technical guidance and fostering professional growth.
• Collaborate closely with experimental biologists and clinicians to design studies, interpret results, and generate actionable insights.
• Develop and maintain robust data analysis pipelines and workflows, ensuring reproducibility and scalability.
• Contribute to grant writing and manuscript preparation, presenting research findings to scientific audiences.
• Evaluate and integrate new computational tools and technologies to enhance research capabilities in Newcastle upon Tyne .

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Significant experience (7+ years) in computational biology or bioinformatics, with a proven track record of leadership.
• Expertise in programming languages such as Python, R, or Perl, and experience with relevant biological databases and software packages.
• Strong understanding of statistical modeling, machine learning techniques, and data visualization.
• Experience managing complex biological data analysis projects and delivering results on time.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse scientific teams.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive benefits package including private medical insurance and life assurance.
• Generous pension scheme and share incentive options.
• Opportunities for advanced training and participation in international scientific conferences.
• A stimulating work environment in Newcastle upon Tyne with access to cutting-edge computational resources and collaborative research projects.