Lead Bioinformatician

About the Role

Our client is looking for a highly skilled and experienced Lead Bioinformatician to join their cutting-edge research team in Brighton . This leadership role is instrumental in driving the analysis of large-scale biological data, including genomics, transcriptomics, and proteomics, to support drug discovery and development efforts. You will be responsible for overseeing bioinformatics projects, developing robust analytical pipelines, and mentoring a team of bioinformaticians. The ideal candidate will possess a strong foundation in computational biology, statistical analysis, and programming, combined with excellent communication skills to effectively collaborate with biologists, chemists, and clinicians. This is an exciting opportunity to contribute to significant scientific advancements in a collaborative hybrid environment.

Key Responsibilities

• Lead the design and implementation of bioinformatics analyses for diverse biological datasets.
• Develop, validate, and maintain scalable bioinformatics pipelines and tools for high-throughput data processing.
• Supervise and mentor junior bioinformaticians, guiding their technical development and project work.
• Collaborate with research scientists to interpret complex biological data and generate actionable insights.
• Stay current with emerging technologies and methodologies in bioinformatics and computational biology.
• Communicate findings effectively to scientific and management teams through reports and presentations.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 6 years of experience in bioinformatics, with a significant portion in leadership or supervisory roles.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries and databases.
• Strong understanding of statistical methods, machine learning, and data mining techniques.
• Experience with genomic and transcriptomic data analysis (e.g., RNA-Seq, WGS).
• Excellent problem-solving abilities and strong communication skills.

Benefits

• Competitive salary and comprehensive benefits package.
• Hybrid work model allowing for a flexible blend of remote and in-office work.
• Generous health, dental, and vision insurance coverage.
• Opportunities for professional development, including conference attendance and training programs.
• Collaborative and innovative research environment in Brighton .