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Job Title: Data Scientist – Drug Discovery
Location: Bath, United KingdomSalary: £45,000 – £65,000 per annum, depending on experienceEmployment Type: Full-time, PermanentIndustry: Biotechnology / Pharmaceutical R&D
About the Company
Join a pioneering biotech company at the forefront of drug discovery. The mission is to accelerate the development of novel therapeutics through cutting-edge data science and machine learning approaches. Based in the historic city of Bath, a collaborative environment where innovation and scientific excellence drive real-world impact.
Role Overview
We are seeking a skilled Data Scientist to contribute to our drug discovery initiatives. The successful candidate will analyse complex biological datasets, develop predictive models, and collaborate with interdisciplinary teams to advance our therapeutic pipeline.
Key Responsibilities
- Analyse and interpret high-dimensional biological data, including genomics, proteomics, and clinical trial data.
- Develop and implement machine learning models to identify potential drug targets and predict compound efficacy.
- Collaborate with bioinformaticians, chemists, and biologists to integrate data-driven insights into the drug development process.
- Design and maintain data pipelines and workflows for efficient data processing and analysis.
- Communicate findings to stakeholders through reports and presentations.
Required Qualifications
- Master’s or Ph.D. in Data Science, Bioinformatics, Computational Biology, or a related field.
- Proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical analysis and data visualization techniques.
- Familiarity with bioinformatics tools and databases.
Preferred Qualifications
- Experience in the biotech or pharmaceutical industry, particularly in drug discovery projects.
- Knowledge of cheminformatics and molecular modelling.
- Experience with cloud computing platforms (e.g., AWS, Azure) and containerisation tools (e.g., Docker).
Benefits
- Competitive salary with performance-based bonuses.
- Comprehensive health and dental insurance.
- Generous pension scheme.
- Opportunities for professional development and continuous learning.
- Flexible working hours and hybrid work options.
