Research & Development Data Management Specialist

We are seeking an individual with a demonstrated ability to integrate biology and chemistry data from various lab-based settings. As a data management specialist at BenevolentAI, you will play a pivotal role in helping and advancing an exciting portfolio of AI-assisted Drug Discovery projects across multiple treatment areas, from identifying targets to clinical development. As valuable part of our Data Operations team, you will work closely with Drug Discovery Scientists from in vitro and in vivo Biology, Chemistry, DMPK and Informatics departments to streamline data processes that aid our internal candidate-drug programs in our AI-spearheaded drug discovery pipeline. Responsibilities: - Develop workflows for processing, capturing, reporting and visualising experimental data - Work alongside internal and external teams to develop user-friendly processes for data sharing and maintaining data integrity standards - Support our ongoing integration of the Dotmatics suite into Benevolent's discovery process - Integrate data created by internal lab scientists or CROs: Instruments, Data analysis programs (Excel, Prism), and external Chemistry and Biology ELNs - Assist in integrating compound management, ordering and inventory across our internal and external repositories - Support our management of user licenses, platform updates and training - Advocate for the evaluation of alternative workflows and data interfaces to refine and re-envision our processes Qualifications: - Experience in Drug Discovery Informatics, relevant degree or MSc/Res qualification in life sciences - Commercial experience in supporting drug discovery informatics; preferably +3 years in data management in a drug discovery environment - A collaborative work approach with good organizational and communication skills - Understanding of bulk data transfer challenges between systems; cross-platform integration and data warehousing - Experience in developing, integrating and enhancing custom workflows, confident rollout and support to user teams - Experience in closely and efficiently communicating with multi-disciplinary project teams, ensuring efficient data analysis, assured data quality and smarter data visualization - A history of understanding the data needs of drug discovery; proposing innovative solutions to improve data flow, data availability and resolving assay analysis and data integration issues with internal and external teams Desirable: - Experience in Drug Discovery Informatics, relevant degree or MSc/Res qualification in life sciences - Commercial experience in supporting drug discovery informatics; preferably +3 years in data management in a drug discovery environment - A collaborative work approach with good organizational and communication skills - Understanding of bulk data transfer challenges between systems; cross-platform integration and data warehousing - Experience in developing, integrating and enhancing custom workflows, confident rollout and support to user teams - Experience in closely and efficiently communicating with multi-disciplinary project teams, ensuring efficient data analysis, assured data quality and smarter data visualization - A history of understanding the data needs of drug discovery; proposing innovative solutions to improve data flow, data availability and resolving assay analysis and data integration issues with internal and external teams