Teams at Relation Therapeutics

Lead programme-level project management for an osteoporosis discovery programme, coordinating interdisciplinary internal teams and CROs, translating scientific goals into integrated plans, managing budgets, risks, governance, and resource allocation, and communicating status to leaders and partners to drive timely milestone-based progression through discovery stages.

Develop and evaluate machine learning models linking DNA sequence and genetic variation to molecular phenotypes and disease. Build sequence-to-function models (variant effect and regulatory activity prediction), integrate sequence representations with transcriptomic and epigenomic data, collaborate with experimental teams to validate hypotheses, communicate results, and contribute to publications and documentation.

Lead Relation’s Platform Engineering team and technical strategy for hybrid on-premises and cloud infrastructure supporting machine learning, scientific computing, genomic pipelines, and internal services. Own Kubernetes architecture, MLOps environments, CI/CD, developer tooling, observability, disaster recovery, platform security, and governance. Hire and develop engineers, guide technical direction, manage production operations and incidents, and partner with Engineering, Data Science, and Machine Learning stakeholders.