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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.

The Role

We are looking for an individual with a proven track record of generating and interpreting plate-based pharmacology data from a wide variety of assay technologies and lab-based environments. You will have experience in setting up, running and supporting plate-based in vitro assays; from assay design to development of primary screens, biochemical/whole-cell and high content assays. Through your Pharmaceutical or CRO experience, you will have a good understanding of the data elements of in vitro drug discovery, such as data analysis and ELN capture in platforms like Dotmatics.

You may be a lab based scientist looking to step away from the lab, but continue to utilise your bench skills and knowledge through interactions with Contract Research Organisations (CRO) and partner lines. You will join a team of enthusiastic and highly motivated biologists within the Discovery Enabling Team (DET), working across various BenevolentAI Projects on assay set-up and screen implementation, in order to generate robust and high quality data sets to enable confident project decision making. As an experienced drug discovery scientist, you will work directly with multiple BAI project teams across our entire portfolio, including in vitro Biology, Safety, DMPK, Chemistry and Informatics, to drive our AI-driven drug discovery pipeline.

This role can be based in either of our Cambridge or London locations.

Primary Responsibilities:

• Provide screening assay input to project teams to ensure assays are fit-for-purpose
• Work directly with in house lab scientists and our compound management teams
• Work with project leads and CROs to coordinate related activities, ensuring assay throughput and data quality
• Provide advice on assay development and troubleshooting of biochemical and cellular assays
• Have oversight of externally generated in vitro data and ensure these are captured in our databases
• Develop and maintain relationships with external assay providers to ensure the needs of BenevolentAI project teams are met

Additional Responsibilities:

• Experience of creating visualisations which combine multiple data sets
• Ability to articulate compound to assay requirements and plate based compound deliverables

We are looking for someone with:

• Proven experience in the development of assays for hit/lead identification of small or large molecules within the pharmaceutical, biologics and/or biotech sector
• Excellent knowledge of screening technologies (for example ELISA, HTRF, FP, proliferation, signalling, reporter, high throughput screening, high content screening, flow cytometry), automation and assay optimisation and qualification
• A collaborative working style with good organisation and excellent communication skills
• Familiarity with the use of informatics tools in a drug discovery settings; such as Excel/Excel Fit, Prism, Genedata or ActivityBase
• Experience working in a cross-discipline team to develop in-house tools or workflows for drug discovery
• A team player who is comfortable working in a fast-paced environment
• A proactive thinker who can anticipate project requirements

About us

BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.

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.

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