Senior Bioinformatician
- oxford, oxfordshire, OX1 3PG, United Kingdom
- Permanent·Remote
- Full time
- £78,000 - £78,000 Per Annum
Job Description
About the Role
Our client is seeking a skilled Senior Bioinformatician to join their expanding research team in Oxford . This role will focus on developing and applying computational approaches to analyze large-scale biological datasets, such as genomics, transcriptomics, and proteomics data, to drive discovery in fundamental biology and therapeutic development. You will play a key role in designing data analysis strategies, building robust pipelines, and collaborating with experimental scientists to interpret results. This is an exciting opportunity to contribute to cutting-edge research in a world-leading scientific community, working in a flexible and forward-thinking environment.
Key Responsibilities
- Design, implement, and optimize bioinformatics pipelines for the analysis of diverse biological data types.
- Perform statistical analysis and develop machine learning models to identify significant biological patterns and generate hypotheses.
- Collaborate with experimental biologists, clinicians, and data scientists to integrate multi-omics data and derive meaningful biological insights.
- Develop and maintain databases and data management strategies for large biological datasets.
- Communicate complex computational findings clearly and effectively to both technical and non-technical audiences.
- Contribute to the development of new research directions and the preparation of manuscripts for publication.
Requirements
- PhD or MSc in Bioinformatics , Computational Biology, Statistics, Computer Science, or a related quantitative field.
- A minimum of 5 years of professional experience in bioinformatics, with a strong focus on analyzing next-generation sequencing data.
- Proficiency in programming languages such as Python and R, and extensive experience with bioinformatics tools and libraries.
- Strong understanding of statistical methods, machine learning algorithms, and data visualization techniques.
- Experience with relational databases and data management best practices.
- Excellent problem-solving abilities, strong communication skills, and the ability to work effectively in a collaborative research setting in Oxford .
Benefits
- A competitive salary and performance-related bonus scheme.
- Comprehensive private medical insurance and excellent employee assistance programs.
- Generous pension contributions and retirement planning support.
- Ample opportunities for professional development, including advanced training and conference attendance.
- Flexible working arrangements, including options for remote work, to support work-life balance in Oxford .


