Senior Bioinformatician - Genomics Analysis
- norwich, norfolk, NR47UA, United Kingdom
- Permanent·Remote
- Full time
- £85,000 - £85,000 Per Annum
Job Description
About the Role
Our client is seeking a highly experienced Senior Bioinformatician to join their fully remote research team. This role is critical for advancing genomic research by developing and applying sophisticated computational methods to large-scale sequencing data. You will lead the analysis of genomic, transcriptomic, and epigenomic datasets, contributing to the discovery of novel biological insights and therapeutic targets. This is an exceptional opportunity to work with a globally distributed, collaborative team, driving innovation in genomics and leveraging state-of-the-art computational resources from anywhere in the world.
Key Responsibilities
- Lead the design and implementation of bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Apply advanced statistical and machine learning techniques to identify genetic variants, gene expression patterns, and regulatory elements.
- Develop and maintain robust code, scripts, and databases for data management and analysis workflows.
- Collaborate closely with experimental biologists, geneticists, and clinicians to interpret complex genomic data and generate actionable biological insights.
- Mentor junior bioinformaticians and contribute to the strategic direction of genomic data analysis efforts.
- Present findings and methodologies to internal teams and potentially at scientific conferences.
Requirements
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in analyzing large-scale genomic and transcriptomic datasets.
- Expertise in programming languages such as Python or R, and proficiency with common bioinformatics tools and libraries.
- Strong understanding of statistical methods, machine learning algorithms, and data visualization techniques relevant to genomics.
- Experience with cloud computing environments (e.g., AWS, GCP) and containerization (e.g., Docker).
- Excellent communication, collaboration, and project leadership skills.
Benefits
- Highly competitive salary and performance-related bonuses.
- Fully remote working arrangement with flexible hours.
- Comprehensive health, dental, and vision insurance.
- Generous vacation time and paid holidays.
- Professional development allowance for conferences and training.
- Opportunity to contribute to impactful genomic research in a dynamic company.


