Senior Scientist - Biomarker Discovery

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 a Senior Scientist - Biomarker Discovery to join BenevolentAI, a leading AI driven drug discovery company, at the Cambridge research site. As the Senior Scientist - Biomarker Discovery you will be responsible for developing assays for biomarker projects. This is a great opportunity for an experienced immunoassay development scientist with a background in analysing preclinical and/or clinical samples for identification of discovery biomarkers to join the In Vitro Biology team at Benevolent, where the role offers the opportunity to work cross-functionally across the business.

Primary Responsibilities

Develop bespoke complex biomarker assays to successfully quantify analytes found in biofluids and tissues samples.
Validate immunoassays and provide appropriate levels of biomarker assay qualification and validation.
Act as Subject Matter Expert for biomarker immunoassays - optimise experimental design, troubleshoot technical issues and provide expertise in assay progression from R&D to clinical development phases.
Interpret laboratory data, generate reports and effectively communicate with internal and external stakeholders.

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We are looking for someone with

BSc, MSc or PhD in a relevant scientific discipline with industry experience.
Extensive Ligand Binding Assay development experience with platforms such as ELISA, and MSD.
Experience working within GxP regulated laboratory measuring biomarkers.

Experience successfully working in multi-disciplinary drug discovery & development teams, with excellent communication skills and the ability to forge productive relationships and collaborations both internally and externally.
Experience with automation and screening is preferred.
Experience in biochemical and cell based assays is desired.
Experience in molecular biology techniques (Western blotting, RT-qPCR and flow cytometry) is desired.
Experience using electronic laboratory notebooks and data management systems (eg Dotmatics, ActivityBase) is desired.
Evidence of creative thinking and problem solving, confidently applying novel strategies to move projects to important decision points quickly and efficiently.

Nice to haves

Experience working in cell culture with immortalised cell lines, primary cells, iPSCs, primary tissue and complex cultures (co-cultures or 3D cultures).
Familiarity with Bioanalysis, Pharmacokinetic, LC-MS/MS, LC/MS/MS would be beneficial but not essential.

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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 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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