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.
As Product Manager for Target Identification, you will work with the Product Area Lead contributing towards defining the BenevolentAI strategy for exploring, selecting, and analysing biological data, identifying our drug discoverer and informatician user needs and setting the product objectives of your team.
We are keen to hear from Product Managers with experience working with multi-modality biological data and either user-facing products or AI/ML-focussed teams with a proven track record building technical products that create significant impact for their users.
Challenging and meaningful, this role will give you a chance to bring your own experience, ideas, and creativity to push forward exciting projects quickly with the chance to try genuinely new ways to find medicines.
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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