We are keen to hear from experienced Bioinformaticians and Data Scientists, with a passion and proven track record of analysing biomedical datasets, to join the Portfolio Delivery team and the Biomedical Informatics department. You will work as part of a cross-functional team dedicated to the application of BenevolentAI’s data integration, target identification and precision medicine activities to our drug discovery programmes.
The Portfolio Delivery team helps ensure our internal analysis tools and algorithms, as well as our data, are used to their fullest extent in our drug discovery programs. It helps structure our drug discovery workflows and devises new computational approaches to help answer biological questions raised by our various disease programs, for example to help validate potential drug targets or support the identification of biomarkers.
As a Senior Bioinformatics Data Scientist in the team, you will contribute to this challenge with your technical, data analysis, and biological knowledge, providing technical leadership to our disease programs, as well as support to our drug discovery teams in the identification and progression of targets. In that process, you will identify and implement new methodologies that can make their ways into our standard products, therefore contributing to the growth of our abilities as a company.
Responsibilities:
- Applying the Benevolent Platform to generate biological insights that lead to testable hypotheses relevant to Drug Discovery and Clinical Development programmes undertaken by BenevolentAI.
- Developing programmatic tools and workflows that enable the analysis of biomedical datasets.
- Working as a member of a cross-functional team that brings together the best in class Informatics, Drug Discovery and Translational Medicine capabilities to tackle the scientific challenges BenevolentAI is looking to find solutions for.
- As a member of the Biomedical Informatics department 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:
- PhD in bioinformatics, computational biology or related field of research
- Experience (1+ years, preferably industry-based) of analysing biomedical datasets which reveal novel biological insights and support Drug Discovery or Clinical Development activities
- Advanced programmer in at least one language. We have a strong preference for Python, but are also interested in R. Candidates should also be familiar with the language packages that support Bioinformatic and Data Science activities.
- Track record of processing and deriving novel insights from ‘omics datasets and related resources.
- At least one of the following:
- Experience in designing experiments to generate data and gain insights into the molecular behaviour of cellular assay systems or patient derived tissues.
- 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 NGS datasets (such as RNAseq or epigenetic data).
- Experience in data integration, e.g. using network based or ML approaches.
- Excellent communicator, both verbal and written, with the ability to influence at all levels and across all departments.
- Bonus points for familiarity with some of the technologies we like, which include: Neo4j, GraphQL, MySQL, Kubernetes, Jupyter.