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Advanced 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 department is focused on applying bioinformatics techniques to drug discovery and precision medicine. We are looking for a talented bioinformatics data scientist to join our precision medicine team. You will work in a multidisciplinary squad to develop computational methods that leverage patient-level omics data to identify disease mechanisms and patient subpopulations that will inform target identification and biomarker discovery.

You will be part of the wider Informatics team who are the domain experts for biological, chemical, and clinical data at Benevolent and its application to enable drug discovery in our technology platform.

Primary Responsibilities

  • You will develop computational approaches to leverage bulk or single-cell transcriptomics data to identify and evaluate disease mechanisms and patient subpopulations in the context of target identification and biomarker discovery.
  • Working together with software engineers, you will productionise informatics logic and algorithms to power user-facing tools that are applied in BAI drug discovery programmes.
  • You will provide domain expertise in the processing and application of biomedical data within a multidisciplinary team of data scientists, machine learning specialists and software engineers.
  • You will collaborate and communicate effectively across product, technology, and drug discovery scientific disciplines and functions to achieve BenevolentAI's strategic goals.

We are looking for someone with

  • A PhD, or equivalent industrial experience in bioinformatics, statistics or other computational subjects with application to biology.
  • Proficient programmer in at least one language able to demonstrate the potential to comfortably work in Python within a few months.
  • Hands-on experience in downstream analysis of bulk or single cells transcriptomics data using available packages and toolkits (e.g. clustering, GSEA, WGCNA, tSNE).
  • Familiarity with several biomedical data types and resources that include databases such as OMIM, Reactome, Chembl; technologies such as text mining/NLP; omics datasets and related resources, such as Gene Expression Atlas, GEO, Array Express, TCGA, LINCs; and other primary datasets such as genetics, protein structure, chemistry, or clinical data.
  • Familiarity with the drug discovery process and an advanced understanding of machine learning and artificial intelligence.
  • Excellent communicator, both verbal and written, with an ability to share knowledge and ideas between scientific and engineering disciplines.
Nice to haves
  • Familiarity with database and graph technologies such as MySQL and Neo4j will be considered a plus.

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 (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.

Want to do a little more research before you apply?

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