With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
We are looking for an individual with a proven track record for generating and integrating plate based pharmacology data from a variety of lab-based environments. You will have a natural bent towards informatics or programming lab-automation equipment, or have some coding or database experience, and be looking for an opportunity to step out of the lab to develop in these areas. Through your Pharmaceutical or CRO experience, you will have a thorough understanding of the data elements of preclinical drug discovery, demonstrated by your direct involvement in areas of compound-to-assay workflows, screen-data generation, ELN-data capture and data analysis, on platforms such as Dotmatics. You will have experience in setting up, running and supporting plate-based in vitro assays; assay design, development of primary screens, High content-assays, or equivalent applied knowledge from DMPK or toxicology/pathology type safety screening. You will also offer a clear interpretation of your own and others’ data to provide support and advice to Project teams.
There is an option to be based out of our London office or our Cambridge lab at the Babraham Research Campus. You will be a key member of our cross-discipline Discovery Enabling Team (DET) that operates within BAI Drug Discovery(DD). Within DET, you will work with BAI colleagues at all sites and across a wide range of disciplines; including non-lab based and lab based scientists, research informaticians, machine learning and AI technologists. As an integral member of the team, you will manage DET-specific screening for Drug Discovery and will support and streamline data-capture across our AI-driven drug discovery pipeline; TargetID and LeadOp to Candidate Development. Your experience in working with internal and external (CRO) partners will allow you to proactively manage the unique challenges that each can present. You will work with internal drug discovery scientists and CROs to directly advise, share your knowledge of assay set up and data capture, ensuring BAI generates quality driven results that allow timely and clear decision making. You will help researchers set up pilot assays, qualify, run and interpret screens, as well as manage their datasets to Dotmatics ELNs. Within DET, you will help integrate and develop efficient intuitive analysis tools and data-workflows, within and external to our Dotmatics platform. Your familiarity with ELN data capture will allow you to support high quality data input and relevant data output, enabling our predictive tools to play an active part in maturing our Artificial Intelligence-driven approach to drug discovery.
Nice to haves:
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the apply button and join us.
BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery.
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