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DMPK
Cambridge

Senior Scientist DMPK

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.

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The Role

We are looking for an experienced and motivated DMPK Scientist to take on a critical project leadership role in our growing team and contribute to our organisation's DMPK strategy. You will be the DMPK lead on small molecule discovery programs in a broad range of disease areas. BenevolentAI will provide the development and learning opportunities for you to progress your career into DMPK specialisms such as PBPK modelling. Working with industry leaders in medicinal chemistry, in vitro and in vivo pharmacology and toxicology, you will have the support and independence to strategise, innovate and make key contributions to overall DMPK effort at BenevolentAI. Your decisions and impact on these projects will have a tangible effect on the progression of clinical candidates.

Primary Responsibilities

  • Interpretation and communication of DMPK data and recommendations to drug discovery project teams to aid effective drug design and risk mitigation
  • You will be responsible for delivering robust IVIVC strategies and experienced in providing solutions to scaling problems
  • You will lead DMPK activities within a project and work with colleagues within and across projects, influencing the way we support drug discovery and development.
  • Develop and execute effective non clinical PK/PD strategies from early discovery through to development, ultimately aiming to deliver robust human pk and dose predictions

We are looking for someone with

  • Ideally experienced in profiling for LO and Candidate Seeking with examples of their problem solving and critical thinking skills.
  • Experienced in determination and interpretation of ADME properties, IVIVC, experience of human dose prediction would be an advantage, and ideally able to adapt study designs.
  • Up to date with industry practice and regulatory guidance, including MIST guidelines.
  • As a key contributor within a cross functional team you should be comfortable working in a fast paced, dynamic environment and on multiple projects with changing priorities and deadlines
  • You will be an excellent communicator, able to collaborate with internal and external colleagues. You will be willing to share knowledge with more junior members of the team with the possibility of line management responsibilities.
  • Experience with Phoenix ( experience with PBPK modelling packages would be a bonus)

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.

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.

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