Senior Data Scientist - Bioinformatics
- brighton, east sussex, BN1 1AA, United Kingdom
- Permanent·Remote
- Full time
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled and motivated Senior Data Scientist with a strong background in Bioinformatics to join their fully remote, cutting-edge research team. This role will involve analyzing large-scale genomic, proteomic, and clinical datasets to uncover novel insights and drive drug discovery and development efforts. You will be instrumental in building predictive models, developing analytical pipelines, and collaborating with biologists and computational scientists to translate complex data into actionable scientific strategies. This is an exceptional opportunity for a data-driven individual to make a significant impact in a remote-first environment, contributing to groundbreaking pharmaceutical research.
Key Responsibilities
- Develop and implement advanced analytical methods and machine learning models for complex biological datasets.
- Design and build scalable data processing and analysis pipelines for genomic, transcriptomic, and other 'omics' data.
- Collaborate with experimental teams to define research questions and guide data generation strategies.
- Visualize and communicate complex findings to both technical and non-technical audiences through clear reports and presentations.
- Contribute to the development of data-driven strategies for target identification and validation.
- Stay current with the latest advancements in bioinformatics, data science, and computational biology.
Requirements
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- 5+ years of professional experience in bioinformatics or data science, with a focus on biological data.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, Scikit-learn, Bioconductor).
- Strong understanding of statistical modeling, machine learning techniques, and experimental design.
- Experience with high-performance computing environments and cloud platforms (e.g., AWS, GCP).
- Excellent problem-solving abilities and strong communication skills.
Benefits
- Competitive salary and performance-based bonuses.
- Fully remote work with flexible scheduling.
- Comprehensive medical, dental, and vision coverage.
- Generous annual leave and personal development budget.
- Opportunity to work on challenging and impactful scientific projects.


