Lead Bioinformatician - Data Analysis

About the Role

Our client is seeking an experienced Lead Bioinformatician to head their data analysis efforts within the research and development division located in Newcastle upon Tyne . This leadership position involves overseeing a team of bioinformaticians, guiding the strategic direction of data analysis projects, and ensuring the rigorous application of computational methods to complex biological datasets. You will play a crucial role in interpreting large-scale omics data, developing innovative analytical approaches, and fostering collaboration between computational and experimental science teams. This is an exciting opportunity for a seasoned professional to make a significant impact on scientific discovery and drive research excellence in a leading UK institution.

Key Responsibilities

• Lead and mentor a team of bioinformaticians, providing technical guidance and project oversight.
• Develop and implement scalable bioinformatics pipelines for the analysis of diverse biological data types, including genomics, transcriptomics, and epigenomics.
• Collaborate with cross-functional research teams to design experiments and analytical strategies that address key scientific questions.
• Ensure the accuracy, reproducibility, and efficiency of all computational analyses.
• Stay abreast of the latest advancements in bioinformatics and computational biology, integrating new tools and methodologies.
• Communicate complex analytical results effectively to both technical and non-technical stakeholders in Newcastle upon Tyne .

Requirements

• Master's or PhD in Bioinformatics, Computational Biology, Statistics, or a closely related field.
• Minimum of 7 years of professional experience in bioinformatics, with at least 2 years in a leadership or senior role.
• Demonstrated expertise in programming languages (e.g., Python, R) and significant experience with bioinformatics software and databases.
• In-depth knowledge of statistical analysis, machine learning, and data mining techniques applied to biological data.
• Proven ability to manage projects, prioritize tasks, and deliver results under pressure.
• Strong understanding of biological research principles and experimental design.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive benefits package including private medical insurance, pension scheme, and life assurance.
• Significant opportunities for career progression and professional development.
• Access to high-performance computing resources and advanced analytical software.
• A dynamic research environment in Newcastle upon Tyne fostering innovation and scientific collaboration.
• Relocation assistance may be available for exceptional candidates.