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Bioinformatics

Senior Bioinformatics Data Scientist (Precision Medicine Specialist)

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, with a passion and proven track record of integrating and analysing biomedical datasets, to join the growing Informatics and Data department. You will find yourself working as part of a cross-functional team supporting BenevolentAI’s data integration, target identification and precision medicine activities.

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.
Additional Responsibilities
  • As a member of the Informatics and Data department you will be responsible for defining research objectives and disseminating the latest Bioinformatics and Computational Biology research trends and developments throughout the organisation.

We are looking for someone with

  • A PhD in bioinformatics, computational biology or related field of research.
  • 3+ years experience (preferably industry), integrating and analysing ‘omics and biomedical datasets to directly support Drug Discovery activities.
  • A strong external network of contacts across industry and academia to engage in ideas and knowledge share.
  • Excellent communicator, both verbal and written, with the ability to influence at all levels and across all departments.
  • Expert at providing the underlying biological interpretation based on the integration of biomedical datasets (e.g ChEMBL, ENSEMBL, UniProt), which can be used to support Drug Discovery or Clinical Development.
  • Expert programmer in at least one language. We have a 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.
  • 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 module detection techniques (e.g. clustering, latent variable models, WGCNA) and experience with patient-level ‘omics data.
  • Experience with using biomolecular network based approaches to aid drug discovery or clinical biomarker development e.g. causal reasoning, pathway mapping and topological analyses of network nodes and edges.
  • Familiarity with health resources including genetics and phenotype information related to patients, such as the UK Biobank.
  • Experience in processing and analysing transcriptomics datasets using Bioconductor packages (e.g. DESeq2, edgeR, Limma, SVA) and other related toolkits (e.g STAR, Salmon, Kallisto).
  • Experience in using technologies we like, which include: Neo4j, GraphQL, BigQuery, ElasticSearch, MySQL, MongoDB, Spark, GitLab, Kubernetes, AWS, KNIME, Jupyter.

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