Senior Bioinformatician
- sunderland, tyne and wear, SR1, United Kingdom
- Permanent·On-site
- Full time
- £58,000 - £58,000 Per Annum
Job Description
About the Role
Our client is seeking an accomplished Senior Bioinformatician to join their dynamic research division in Sunderland . This role is central to advancing our understanding of complex biological systems through the analysis of large-scale genomic and transcriptomic data. You will play a key part in designing and implementing computational pipelines, analyzing diverse biological datasets, and collaborating with experimental biologists to interpret results and generate actionable insights. The ideal candidate will possess a strong blend of computational expertise and biological understanding, contributing to groundbreaking research within a supportive and innovative environment in Tyne and Wear .
Key Responsibilities
- Develop, optimize, and maintain computational pipelines for the analysis of next-generation sequencing (NGS) data, including genomics, transcriptomics, and epigenomics.
- Perform in-depth statistical analysis and interpretation of large biological datasets to identify significant biological patterns and biomarkers.
- Collaborate closely with experimental biologists and clinicians to define research questions and translate them into computational analyses.
- Visualize complex biological data effectively for presentation to scientific audiences.
- Contribute to the design of experiments, advising on data collection strategies and computational feasibility.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and methodologies.
Requirements
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, or a related field.
- Minimum of 5 years of hands-on experience in bioinformatics analysis and computational biology.
- Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and databases.
- Strong experience in analyzing various types of NGS data (e.g., WGS, RNA-Seq, ChIP-Seq).
- Solid understanding of statistical methods and their application to biological data.
- Excellent communication and teamwork skills, with the ability to explain complex computational concepts to biologists.
Benefits
- Competitive salary package and performance-based incentives.
- Comprehensive health, dental, and vision insurance.
- Generous holiday allowance and paid sick leave.
- Opportunities for continuous learning and professional development.
- Pension scheme with employer contributions.
- Access to advanced computational resources and collaborative research environment in Sunderland .


