We are looking for an individual with a proven track record of integrating biology and chemistry data streams from a variety of lab-based environments. As a specialist in data management within BenevolentAI, you will have a central role in supporting and progressing an exciting portfolio of AI-enabled Drug Discovery programs, across a range of therapeutic areas, from hit identification through to clinical development. As a key member of our Data Operations team, you will collaborate closely with Drug Discovery Scientists from in vitro and in vivo Biology, Chemistry, DMPK and Informatics departments to streamline data processes that support our internal candidate-drug programmes in our AI-driven drug discovery pipeline.

• Develop workflows for experiment-data processing, capture, reporting and visualisation
• Work collaboratively with internal teams and external teams to develop user friendly processes to aid data sharing and ensure data integrity standards are maintained
• Support our ongoing integration of the Dotmatics suite into the Benevolent discovery process
• Integrate data produced by internal lab scientists or CROs: Instruments, Data analysis programs (Excel, Prism), and external Chemistry and Biology ELNs
• Help integrate compound management, ordering and inventory across our internal and external repositories
• Support our management of user licences, platform updates and training
• Champion the assessment of alternative workflows and data interfaces to further improve and reimagine our processes

• Experience in Drug Discovery Informatics, relevant degree or MSc/Res qualification in life sciences
• Commercial experience in supporting drug discovery informatics; preferably +3yrs of data management type activities in a drug discovery environment
• A collaborative working style with good organisation and communication skills
• An understanding of the challenges of bulk data transfer between systems; cross-platform integration and data warehousing
• Experience in developing, integrating and improving custom workflows, confident rollout and support to user teams
• Experience in communicating closely and effectively with multi-disciplinary project teams, to ensure efficient data analysis, assured data quality and smarter data visualisation
• A track record of understanding the data needs of drug discovery; suggesting innovative solutions to improve data flow, data availability and resolving assay analysis and data integration issues with internal and external teams