Computational Biologist
Description
We are seeking a highly skilled
Computational Biologist for our clients to support data-driven research and discovery within a
biotechnology-focused organisation. This role involves developing and applying
computational models, algorithms, and analytical pipelines to interpret complex
biological datasets. The successful candidate will work closely with
bioinformatics, data scientists, and wet-lab researchers to drive scientific
insight and innovation.
Job Responsibility
- Develop and apply computational models
and algorithms for biological data analysis
- Analyse large-scale genomic, transcriptomics, proteomic, or multi-omics
datasets
- Collaborate with wet-lab scientists to translate experimental data into
actionable insights
- Design, optimise, and maintain reproducible analysis pipelines
- Document methodologies and present findings to technical and non-technical
stakeholders
Requirements
Required Skills*
- Strong background in computational
biology or quantitative life sciences
- Proficiency in Python, R, or similar programming languages
- Experience analysing large-scale biological or omics datasets
- Strong statistical and analytical problem-solving skills
Desired Skills
- Experience with machine learning or
advanced statistical modelling
- Familiarity with cloud computing platforms (AWS, GCP, Azure)
- Experience working in regulated or clinical research environments
Benefits
Job Benefits
- Competitive salary package
- Hybrid or flexible working arrangements
- Career progression within advanced research and data science teams
- Pension contribution
- Opportunity to work on cutting-edge biological research
