BenevolentAI, founded in 2013, creates and applies AI technologies to transform the way medicines are discovered and developed. BenevolentAI seeks to improve patient’s lives by applying technology designed to generate better data decision making and in doing so lower drug development costs, decrease failure rates and increase the speed at which medicines are generated. The company has developed the Benevolent Platform™ - a discovery platform used by BenevolentAI scientists to find new ways to treat disease and personalise drugs to patients.
BenevolentAI is HQ’d in London with a research facility in Cambridge (UK) and further offices in New York and Antwerp. BenevolentAI has active R&D drug programmes from discovery to PhaseIIb in disease areas such as ALS, Parkinson’s, Ulcerative Colitis and Sarcopenia.
You are a statistical geneticist with a passion for using human genetic analysis to impact drug discovery programmes at BenevolentAI. You will join a team, based in central London’s knowledge quarter, building and deploying a suite of tools for causal inference and patient stratification in our drug discovery programmes. Working closely with colleagues from machine learning, data science and drug discovery, you will bring statistical genetics tools together with machine learning methods to generate new biological insights. You will bring your skills and experience to bear on diverse scientific and methodological questions that have direct impact on Benevolent’s drug discovery programmes.
- You will play a key part in driving the delivery of genetic evidence to support drug targets in our discovery programmes.
- You will use your expertise to apply and develop state-of-the-art statistical genetics methods that maximise the impact of genetic analyses on our drug discovery programmes.
- You will define the scientific and technical challenges in delivering translational insights using human genetics and work with cross-functional teams to develop new solutions.
- You will be responsible for delivering and explaining findings from these methods to colleagues from a range of disciplines.
- You will work closely with colleagues to integrate genetic analysis workflows with other elements of the BenevolentAI discovery platform.
- You will work as a member of a cross-functional team comprising specialists in informatics, engineering, AI, drug discovery and product). In these teams, you will apply the latest advances in statistical genetics to drug discovery and development.
- You will be part of collaborative teams with external partners and build new relationships..
We’re looking for someone with...
- PhD in human statistical genetics or closely related discipline.
- At least one first author publication or equivalent in the fields of human genetics, statistical genetics or genetic epidemiology.
- Excellent skills in population-based genetic discovery for complex traits (GWAS +/- rare variant analysis), and its application to disease outcomes, survival and quantitative traits.
- Experience and expertise in post-GWAS analysis and interpretation, particularly methods for causal inference (e.g. colocalisation, Mendelian randomisation) and gene prioritisation.
- Experience in handling and analysing large-scale genomic and phenotypic patient-level data.
- A commitment to an empirical approach to therapeutic development.
- A keen interest in using human genetics to answer translatable scientific questions.
- Excellent communication skills, both oral and written, with the ability to influence at all levels and across departments.
- ‘Intellectual courage’ which enables collaboration with experts in fields other than your own.
- Determination to seize opportunities to learn, develop and grow.
Who are we?
We have assembled a diverse, exceptionally talented and spirited team to tackle the most pressing and challenging problems at the intersection of artificial intelligence and drug discovery. We bring our ideas and passion for new technology and medicine discover to life by questioning traditional scientific dogmas.
Our core values reflect who we are and how we work and they are so important to achieve our mission: Bring better medicine to patients faster.
Put patients first. Drive to delivery. Break boundaries. Own the solution.
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