Bioinformatics Research Scientist
Posted 5 days ago by VRS Recruitment
£55,000 Per year
Undetermined
Hybrid
Slough, England, United Kingdom
Summary: The Bioinformatics Scientist role involves supporting drug discovery programs through the analysis and interpretation of complex biological and screening data within a global pharmaceutical organization. This hybrid position combines computational data analysis with laboratory collaboration to identify and optimize novel therapeutic molecules. The scientist will develop analytical workflows and tools while contributing to laboratory-based screening activities. The role requires close collaboration with other scientists to enhance analytical capabilities within the In Vitro Pharmacology team.
Key Responsibilities:
- Analyse and interpret complex biological and high-throughput screening datasets
- Develop and optimise analytical workflows and automated data analysis tools
- Contribute to optimisation of screening platforms through data-driven insights
- Support laboratory-based screening activities including tissue culture and cell-based assays
- Work with platforms such as flow cytometry, reporter assays and high-content imaging
- Maintain accurate records of analyses, experiments and workflows
Key Skills:
- PhD with a strong focus on Bioinformatics or a related discipline, or 3+ years’ relevant industry experience
- Proficiency in Python, R or MATLAB
- Experience working with complex assay or screening datasets
- Understanding of biological assay analysis and data interpretation
- Strong communication and collaboration skills
- Prior laboratory experience is desirable but not essential
Salary (Rate): £55,000.00 yearly
City: Slough
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
We are working in partnership with a global pharmaceutical organisation to recruit a Bioinformatics Scientist to join our clients In Vitro Pharmacology (IVP) team supporting drug discovery programmes through the analysis and interpretation of complex biological and screening data. This hybrid role combines computational data analysis with hands-on laboratory collaboration to support the identification and optimisation of novel therapeutic molecules. Working closely with scientists across the department, you will develop and apply analytical workflows and automated data analysis tools to support high-throughput screening activities and large-scale assay datasets. The role will also contribute to the implementation and optimisation of new analytical capabilities and workflows within the IVP function. Alongside the computational work, the position includes partial lab-based responsibilities supporting routine screening assays and translational research activities.
Key Responsibilities
- Analyse and interpret complex biological and high-throughput screening datasets
- Develop and optimise analytical workflows and automated data analysis tools
- Contribute to optimisation of screening platforms through data-driven insights
- Support laboratory-based screening activities including tissue culture and cell-based assays
- Work with platforms such as flow cytometry, reporter assays and high-content imaging
- Maintain accurate records of analyses, experiments and workflows
Experience
- PhD with a strong focus on Bioinformatics or a related discipline, or 3+ years’ relevant industry experience
- Proficiency in Python, R or MATLAB
- Experience working with complex assay or screening datasets
- Understanding of biological assay analysis and data interpretation
- Strong communication and collaboration skills
- Prior laboratory experience is desirable but not essential
Computational Scientist, In Vitro Pharmacology, Assay Informatics, Drug Discovery, Computational Biology, Biological Data Analysis, High-Throughput Screening, HTS, Flow Cytometry, High Content Imaging, Cell-Based Assays, Dose Response Analysis, Pharmacology, Python, R, MATLAB, Workflow Development, Assay Analytics, Translational Science, Tissue Culture, Screening Platforms, Oncology, Immunology, Biotechnology, Pharmaceutical, Slough, Berkshire, Maidenhead, Uxbridge, Reading, Windsor, Bracknell, High Wycombe, West London, Oxford, Cambridge, London, VRS9454MP.