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Product Developement

Statistical Geneticist

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

We are looking for 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 methodological and scientific questions that have direct impact on Benevolent’s drug discovery programmes.

The dynamic environment that you will join at Benevolent offers many opportunities for a talented, motivated individual to influence our drug discovery programmes, supported by access to a wealth of data, infrastructure and expertise. We have a particular focus on deriving and applying more precise definitions of disease, and discovering medicines tailored to patients in those groups. You will be working to make precision medicine a reality alongside Benevolent’s world-class teams of data scientists and biologists, and an international network of external collaborators.

Primary Responsibilities

  • 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.
  • Contribute to existing external collaborations and build new relationships.
  • You will be part of collaborative teams with external partners.

Additional Responsibilities

  • Development and management of external collaborations.
  • Management of scientific outputs such as publications.

We are looking for someone with

  • BSc/MSc + 2 Years experience or recent PhD in human statistical genetics or closely related discipline.
  • Excellent skills in population-based genetic discovery for complex traits (WES/WGS), and its application to disease outcomes, survival and quantitative traits.
  • Strong Python programming skills.
  • Experience and expertise in post-GWAS analysis and interpretation, particularly methods for causal inference (e.g. colocalisation, Mendelian randomisation) and gene prioritisation.
  • Strong quantitative analysis skills using statistical programming packages e.g. python, R, shell scripting
  • Experience in handling and analysing large-scale genomic and phenotypic patient-level data.
  • Exceptional skills in theoretical and applied statistics.
  • Experience in processing array genotype and genome/exome sequence data for analysis.
  • Knowledge of software development techniques, continuous integration, Git, Kubernetes, AWS.
  • A commitment to an empirical approach to therapeutic development.
  • A keen interest in using human genetics to answer translatable scientific questions.

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?

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

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