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Product Development

Senior Bioinformatics Data 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

The Informatics and Data team is focused on applying bioinformatics techniques to drug discovery and precision medicine. We have two openings within our Knowledge Graph and Precision Medicine functions and 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.

Precision Medicine Team:

The Precision Medicine team is applying state of the art AI models to multi-omics data in order to simultaneously identify drugs targeting disease-relevant biological mechanisms and the cohort of patients who might benefit from these treatments. As a Senior Bioinformatics Scientist in the team, you will contribute to this challenge with your technical and biological knowledge, providing guidance to other members of the team and implementing the tools needed for the precision medicine activities.

Genomics & Genetics team:

The Genomics & Genetics team has established a robust and sustainable end to end (E2E) solution to simplify and streamline the capture, processing and analyses of Omics data at BenevolentAI. As a Senior Bioinformatics Scientist in the team, you will contribute to the strategy by developing Omics data flows and working closely with experts who are involved in the generation, handling and consumption of such data.

Primary Responsibilities

  • 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.
Precision Medicine Team:
  • Providing the bioinformatics expertise needed to analyse patient level data coming from transcriptomics or other ‘omics modalities.
  • Designing and developing programmatic tools for downstream analysis, validation and biological interpretation of the results of AI models applied to patient data.
Genomics & Genetics team:
  • 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 and integrate them into the DNAnexus platform.
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.
  • Experience in leading projects to analyse ‘omics data and apply state of the art methods to address biological problems.
  • 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 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.
  • Experience in using technologies we like, which include: Neo4j, GraphQL, BigQuery, ElasticSearch, MySQL, MongoDB, Spark, GitLab, Kubernetes, AWS, Jupyter.
Precision Medicine Team:
  • 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.
  • Experience in downstream analysis of transcriptomics datasets using Bioconductor packages and other related toolkits (e.g. clustering, GSEA, WGCNA).
  • Familiarity with health resources including genetics and phenotype information related to patients, such as the UK Biobank.
  • Familiarity with clustering and module detection techniques (e.g. latent variable models, co-expression networks) and experience with patient-level ‘omics data.
  • Expert at designing statistical tests to answer biological questions using ‘omics datasets.
  • Experience with using biomolecular network based approaches to aid drug discovery or clinical biomarker development would be considered beneficial.
  • Experience in designing experiments to generate data and gain insights into the molecular behaviour of cellular assay systems or patient derived tissues would be considered beneficial.
Genomics & Genetics team:
  • Strong programming ability in relevant framework and languages such as Python, WDL, CWL, Nextflow, or shell scripting. Candidates should also be familiar with the language packages that support Bioinformatic, Data Science and Machine Learning activities.
  • Hands on experience working with diverse Omics data types including RNA-Seq, scRNA-seq, Chip-Seq, ATAC-seq, WES, WGS, proteomic, metabolomic data etc. from different sources.
  • Experience with DNAnexus platform and the SDK to develop analytic tools would be considered beneficial.
  • Strong background and understanding of different NGS technologies including Illumina sequencing and 10X Genomics.

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.

Want to do a little more research before you apply?

Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.

Important Note

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