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Product Development

Senior Bioinformatics Data 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

The Informatics and Data team is focused on applying bioinformatics techniques to drug discovery and precision medicine. We are keen to hear from experienced Bioinformaticians and Data Scientists, with a passion and proven track record of integrating and analysing biomedical datasets, to join the growing Informatics and Data team. You will find yourself working as part of a cross-functional team supporting BenevolentAI’s data integration, target identification and precision medicine activities. We currently have two openings, one Advanced Bioinformatics Data Scientist and one Senior Bioinformatics Data Scientist.


Primary Responsibilities

  • Processing, integrating and analysing biomedical datasets for biological insights that lead to testable hypotheses relevant to Drug Discovery and Clinical Development programmes undertaken by BenevolentAI.
  • Developing programmatic tools and workflows that automate the analysis of biomedical datasets.
  • Working as a member of a cross-functional team, that brings together the best in class Informatics, AI, Engineering, Drug Discovery and Product capabilities to tackle the scientific challenges BenevolentAI is looking to find solutions for.
  • As a member of the Informatics and Data team you will be responsible for investigating, prototyping, and implementing new scientific capabilities and disseminating the latest Bioinformatics, Data Science and Computational Biology research trends and developments throughout the organisation.

We are looking for someone with

  • MSc in bioinformatics, computational biology or related field of research.
  • 3+ years experience, integrating and analysing biomedical datasets to directly support Drug Discovery activities.
  • Strong knowledge of mechanistic ontologies and pathway databases such as the Gene Ontology, KEGG, or Reactome.
  • Strong understanding of interactome and regulome data sources and experimentally validated protein-protein interaction datasets.
  • Extensive experience of integrating biomedical datasets (e.g ChEMBL, ENSEMBL, UniProt, PDB), which reveal novel biological insights and support Drug Discovery or Clinical Development activities.
  • Expert programmer in at least one language, with experience working in production environments. We have a strong preference for Python, but are also interested in R and Java. Candidates should also be familiar with the language packages that support Bioinformatic, Data Science and Machine Learning activities.
  • Experience in using technologies we like, which includes: Neo4j, GraphQL, BigQuery, ElasticSearch, MySQL, MongoDB, Spark, Kubernetes, Jupyter.
  • Proven track record of employing the scientific method and designing analyses to investigate complex questions.
  • Excellent communicator, both verbal and written, with the ability to influence at all levels and across all departments.

At least one of the following

  • Proven track record of processing and deriving novel insights from ‘omics datasets and related resources, such as Gene Expression Atlas, GEO, Array Express, TCGA and LINCs (familiarity with Omicsoft will be considered beneficial).
  • Experience with using biomolecular network based approaches to aid drug discovery or clinical biomarker development e.g. causal reasoning, pathway mapping and functional module detection.
  • Experience in processing and analysing transcriptomics datasets using Bioconductor packages (e.g. DSeq2, edgeR, Limma) and other related toolkits (e.g STAR, Salmon, Kallisto, WGCNA).

Nice to haves

  • Experience of building and querying Knowledge Graph representations of biomedical data.

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 careers@benevolent.ai or an email from this domain @benevolent.ai. Please flag any suspicious contact request to hello@benevolent.ai