Are you an AI/ML Engineer passionate about GenAI? Join our KnetMiner team to drive the development of a gene discovery platform that integrates knowledge graphs with large language models (LLMs) to advance genomics and genetics research.
In this role, you will develop GenAI functionalities to enrich knowledge graphs with new relationships and generate scientific narratives from complex biological data. Working directly with the founding team, your contributions will empower researchers worldwide, enabling novel discoveries in genomics through enriched insights and AI-driven scientific reports.
Key Skills & Knowledge: Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, LangChain).Background in LLMs, natural language processing (NLP), and retrieval-augmented generation.Familiarity with knowledge graphs, especially Neo4j and Cypher.Experience with feature and prompt engineering for LLM-based applications.If you're excited to apply GenAI to bioinformatics and genomics research, we invite you to join us in shaping the future of biological discovery. This is a fixed-term position with flexible working arrangements, including homeworking options.
About The Company
Established in 1843, Rothamsted Research is one of the UK's leading Research Institutes delivering world-class agricultural science. Our commitment to learning and development, equality, diversity and inclusion, and flexibility in working arrangements creates a positive work-life balance and enables a welcoming environment for all prospective employees.
As a Disability Confident Employer, we are committed to making reasonable adjustments to the recruitment process. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview. Applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age are welcomed, providing the required criteria are met.
We have an attractive benefits package including 30 days annual leave, a generous pension scheme, Employee Assistance Programme, and an attractive campus offering cultural and recreational activities.
£31,350 to £32,315 FTE (15 hours a week) depending on experience and technical knowledge.
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