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Informatics
London

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.

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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 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.

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Important Note

Our team will only contact you from the domain @benevolent.ai. If you receive a suspicious contact request, please email hello@benevolent.ai. Thank you.