Lead Bioinformatics Scientist - Remote

About the Role

Our client is seeking a highly accomplished and visionary Lead Bioinformatics Scientist to spearhead their computational biology efforts, operating in a fully remote capacity based out of Newcastle upon Tyne . This critical role will involve architecting and implementing sophisticated computational pipelines for the analysis of large-scale genomic and proteomic datasets. You will be at the forefront of translating complex biological data into actionable insights, guiding a team of talented bioinformaticians and collaborating closely with research scientists across various disciplines. This is an exceptional opportunity to shape the future of data-driven discovery within a leading scientific organization, making a significant impact on drug discovery and therapeutic development from anywhere.

Key Responsibilities

• Lead the design, development, and maintenance of scalable bioinformatics pipelines for the analysis of diverse omics data (genomics, transcriptomics, proteomics).
• Manage and mentor a team of bioinformatics scientists, providing technical guidance, project oversight, and career development support.
• Collaborate with experimental biologists and clinicians to define research questions and translate them into computational strategies.
• Implement and optimize advanced statistical and machine learning models for biological data interpretation.
• Ensure the quality, reproducibility, and efficiency of all computational analyses through robust documentation and version control.
• Contribute to the strategic planning of bioinformatics infrastructure and data management strategies.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related quantitative field.
• Minimum of 7 years of progressive experience in bioinformatics, with at least 2 years in a leadership or team management role.
• Demonstrated expertise in programming languages such as Python or R, and experience with workflow management systems (e.g., Snakemake, Nextflow).
• Proven experience analyzing large-scale biological datasets (e.g., WGS, RNA-Seq, ChIP-Seq) and using relevant bioinformatics tools and databases.
• Strong understanding of statistical modeling, machine learning, and algorithm development.
• Excellent communication and interpersonal skills, with the ability to effectively lead a remote team and collaborate across departments.

Benefits

• Highly competitive salary with potential for performance-based bonuses.
• Fully remote work arrangement, offering exceptional work-life balance and flexibility.
• Comprehensive private medical insurance and wellness programs.
• Generous annual leave allowance and company holidays.
• Access to cutting-edge cloud computing resources and software licenses.
• Opportunities for impactful contributions to significant scientific research projects.