OMass Therapeutics is a biotechnology company based in Oxford discovering medicines against highly-validated target ecosystems. We are seeking an experienced Chemoinformatician to use computational chemistry expertise and scientific curiosity to solve drug discovery challenges.
Requirements
- PhD or equivalent in Chemoinformatics, Computational Chemistry, Molecular Modelling, or a related field
- Detailed demonstrable knowledge of a wide range of chemoinformatics methods and their application to live projects
- Expert knowledge with scripting languages (e.g. Python) and familiarity with open source chemoinformatics libraries (e.g., RDKit)
- Extensive hands-on experience with compound library design, similarity and substructure searching, virtual screening, reaction enumeration, molecular fragmentation, R-group analysis, and multi-parameter optimization
- Proficiency in developing and applying machine learning and QSAR models, with knowledge of chemical featurizers and best practices
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and modern machine learning techniques
- Demonstrated innovation in cheminformatics or computational chemistry, evidenced by publications, presentations, or open-source contributions
- Excellent communication skills, both written and verbal
Benefits
- Private Health Insurance
- Health and wellbeing cashback scheme
- Life Assurance and Income Protection
- Participation in Employee Equity Scheme
- 25 days annual leave, plus bank holidays
- Pension Scheme offering 6% employer contribution
- Learning and Development Opportunities
- Company social events
