Senior Bioinformatician - Genomics
- sunderland, tyne and wear, SR1 2TF, United Kingdom
- Permanent·Hybrid
- Full time
- £75,000 - £75,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled Senior Bioinformatician to join their expanding genomics research team in Sunderland . In this crucial role, you will develop and implement advanced computational methods to analyze large-scale genomic datasets, uncovering critical insights that drive scientific discovery and diagnostic development. You will work collaboratively with a multidisciplinary team of scientists and clinicians, contributing directly to projects aimed at understanding disease mechanisms and identifying novel therapeutic targets. This hybrid role offers a fantastic opportunity to contribute to impactful research within a supportive and innovative environment.
Key Responsibilities
- Develop, validate, and maintain bioinformatics pipelines for processing and analyzing next-generation sequencing (NGS) data.
- Perform statistical analysis and interpretation of genomic data to identify significant findings, such as genetic variants, gene expression patterns, and mutations.
- Collaborate with experimental biologists and clinicians to design studies and translate complex biological questions into analytical approaches.
- Contribute to the development of new computational tools and algorithms for genomic data analysis.
- Clearly communicate complex analytical results and insights to both technical and non-technical audiences.
- Ensure data integrity, reproducibility, and efficient management of large genomic datasets.
Requirements
- Master's or PhD in Bioinformatics, Computational Biology, Statistics, or a related quantitative field.
- Proven experience (5+ years) in analyzing large-scale genomic datasets, particularly NGS data (e.g., WGS, WES, RNA-Seq).
- Proficiency in scripting languages such as Python or R, and familiarity with bioinformatics command-line tools and workflows.
- Strong understanding of statistical methods relevant to genomics and data analysis.
- Excellent problem-solving skills and the ability to work effectively in a team-oriented, collaborative setting.
Benefits
- Competitive salary with performance-related bonus.
- Comprehensive health and wellness benefits package.
- Generous annual leave and flexible working options.
- Opportunities for professional development and attending scientific conferences.
- Access to advanced computing infrastructure and collaborative research environment.


