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Drug Discovery

Drug Discovery Outsourcing Scientist

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 for working with internal teams and external CROs, generating and integrating plate-based pharmacology data from a variety of lab-based environments. If you are in a current lab-centric role, you will be looking for an opportunity to step out of the lab and develop in this area. 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 these data in providing support and advice to Project teams.

There is an option to be based out of our London office, or our Cambridge lab-site on the Babraham Research Campus. You will be a key member of our Discovery Enabling Team (DET), which operates as a cross-discipline team within BAI’s Drug Discovery(DD). Within DET, you will work with BAI colleagues at all sites, across a wide range of disciplines; including non-lab and lab-based scientists, research informaticians, machine learning and AI technologists. As an integral member of the team, you will manage DET-specific screen support for our Drug Discovery, and support and streamline data-capture across our AI-driven drug discovery pipeline (TargetID, HitID, LeadOp to Candidate Development). Your experience in working with internal researchers and external (CRO) partners will allow you to proactively manage the unique challenges that each presents. You will work with internal drug discovery scientists and CROs to directly advise, share your knowledge of assay set up and data capture, to ensure BAI generates quality-driven results that allow timely and clear decision making. You will help researchers set up pilot assays, QC-qualify, run and interpret their screens, as well as manage their datasets into Dotmatics ELNs.

Primary Responsibilities

  • Manage outsourcing operations; including logistics, CRO contract relationship, budget management, quotation requests
  • DET outsourcing activities, eg Primary pharmacology, selectivity & safety pharmacology screens
  • Serve as a key DET-point of contact to internal Project Teams, Project Management and CROs
  • Continuously improve compound-to-data workflows, Dotmatics data capture and data presentation across DD
Additional Responsibilities
  • Coordinate with key stakeholders; Target Identification program leads, drug discovery core teams, safety pharmacology, DMPK, Project Management and external CROs
  • Participate in the organisation and logistics of business and collaboration meetings
  • Ensure assay requests and data strategies are developed and implemented within the expected timelines, across multiple Project and Target Identification teams
  • Help pilot, develop and qualify assay protocols, QC data, upload and share key results
  • Keep abreast of technical developments in key fields, eg target and selectivity screening, safety pharmacology and regulatory guidance. Influence CROs to build and develop relevant capabilities

We are looking for someone with

  • Experience of drug discovery from either; a small to large Pharma, Biotech or CRO background
  • Proven ability to multitask; organise, coordinate and interpret multiple studies across different projects at the same time
  • Working knowledge of the best CROs for performing in vitro studies. Outsourcing experience across multiple target classes, from early target identification to candidate nomination
  • Positive attitude. A problem solver and clear communicator. Able to learn new technology and enjoy assisting others
  • Working knowledge of internal and/or commercial data-management tools; including but not limited to Dotmatics, Excel-macros/XLfit, Prism, IDBS-ActivityBase and Chem/Bio ELNs
  • Ability to work effectively across broad-discipline internal teams and external-vendors to; develop, integrate, ‘prove’ and support workflows prior to their confident rollout
  • A track record of understanding the data needs of drug discovery teams, suggesting innovative solutions to improve data flow and data availability
  • Experience and understanding of the challenges in handling large datasets
  • Good knowledge of drug discovery (e.g. DMPK, medicinal chemistry) as it pertains to primary pharmacology, selectivity and safety pharmacology
  • Familiarity with current regulatory guidelines relating to the drug development process

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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