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Drug Discovery

Translational Medicine Scientist

The Company

BenevolentAI unites technology with human intelligence to re-engineer drug discovery and deliver life-changing medicines. We have developed the Benevolent Platform®, a drug discovery platform built on powerful data foundations with state of the art machine learning and AI technology. Our technology empowers scientists to decipher the vast and complex code underlying human biology, find new ways to treat disease and personalise medicines to patients. Benevolent has active in-house R&D drug programmes in disease areas such as neurodegeneration, immunology, oncology and inflammation and has research and commercial collaborations with leading pharmaceutical and research organisations. The company is headquartered in London with a research facility in Cambridge (UK) and a further office in New York.

Who we are

We are an eclectic bunch at Benevolent, united by our belief that innovative thinking and purposeful technology can truly change outcomes for the better. Our mission is to re-engineer drug discovery and deliver life-changing medicines for patients in need and we do this by applying AI, machine learning and other advanced technologies to reinvent the ways drugs are discovered and developed. We strive to bring together unique skills and perspectives across biology, chemistry, engineering, AI research, informatics, precision medicine and drug discovery.

The Role

We are seeking a Clinical/Molecular Epidemiologist with a passion for applying their skills in the analysis of public health data, clinical trial and electronic health records in the context of Drug Discovery. You will join a diverse team of Translational Medicine Scientists and will use your skills in collaboration with genetic, genomic, and AI/ML scientists to define clinical phenotypes that will impact the drug discovery and clinical development programmes at BenevolentAI.

Primary Responsibilities

  • You will bring expertise in the analysis and interpretation of clinical phenotyping data to Benevolent’s precision medicine approaches.
  • You will work as a member of a cross-functional team comprising specialists in genomics, genetics, informatics, engineering, AI and drug discovery. In these teams, you will apply the latest advances in machine learning to drug discovery and development.
  • You will define the scientific and technical problems in delivering precision medicine to develop new solutions within your team, influence a precision medicine approach across the company and be part of collaborative teams with external partners.
  • You will drive an approach of ‘clinic first’ to define unmet medical needs in patient-level data and match targets that address that need to existing or new therapeutic agents.

We are looking for someone with

  • A PhD in epidemiology (clinical/molecular/genomic), biostatistics, statistical genetics or related fields of research.
  • At least one first-author publication or equivalent in the fields of epidemiology, drug discovery or bioinformatics.
  • Experience handling, analysing and interpreting large-scale clinical epidemiological data, real-world evidence (RWE) data, or clinical trial datasets.
  • Experience in at least one programming language e.g. Python (preferred) or R.
  • Experience working with standard data science tools.
  • Collaborative, team-oriented, able to thrive in a multidisciplinary environment.
Nice to haves...
  • 3 years or more experience of applying epidemiological approaches in conjunction with genetic and/or genomic data to further disease phenotype understanding ideally in the context of drug discovery or development, or translational science in a commercial or academic setting.
  • Experience in the analysis of UK Biobank data, healthcare RWE data or equivalent large scale human phenotype data.
  • Understanding of clinical development and trial design.
  • Familiarity with biomarker discovery and development.

Together, we envision a world in which no disease goes untreated. If you are benevolent, curious, want to tackle real world problems and are willing to embrace new ideas, hit that ‘apply’ button and join us.

Important Note

It has come to our attention that unfortunately fraudsters have been falsely offering jobs and set-up fake interviews under the guise of being a Benevolent recruiter. We therefore advise you to be very stringent about who is reaching out to you. Any enquiry from our team will only be made via the email or an email from this domain Please flag any suspicious contact request to