Senior 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

As a Data Scientist in the Data Management team, you will be the founding technical contributor, responsible for setting the foundation of data engineering at BenevolentAI.

In particular, you will focus on architecting and setting best practices of a company-wide data lake to streamline data management across the organisation. You will also focus on enabling ML and data analysis use cases through data engineering.

Primary Responsibilities

• You will work as a member of a cross-functional team comprising specialists in data engineering, data science, data governance.
• You will work closely with data users and infrastructure teams, you will set the best practices of implementing data engineering across the organisation.
• Embedded in data user teams, you will understand their data usage needs, and help their adoption of data engineering best practices, example projects include data lake adoption, data cataloguing, data modelling, data quality assurance, etc.
• Setting the expectations of skills and knowledge for data engineering practitioners.
• Provide technical assessment of 3rd party solutions of data platforms, e.g. data lake, warehouse, visualisation, etc. Give feedback to the infrastructure team on the future direction of data infrastructure.
• Drive a culture change in data ownership.

Additional Responsibilities

• Stay up-to-date on the latest trend in data engineering technology and methodology to identify directions for improving our platform.

We are looking for someone with

• Experience with data tools like relational databases (Postgresql, MySQL), data warehouses (Redshift, Snowflake), distributed data processing (Spark, Hadoop), orchestration (Argo, Airflow), visualisation (Tableau, Looker), etc.
• Experience with working with and optimising the user experience, governance, and cost of data lakes.
• Experience building data pipelines that ingest, clean, transform, and serve data for complex data use cases.
• Enjoy working in a fast-paced, highly-collaborative environment.
• Strong communication skills: ability to communicate complex data science and engineering concepts to a broad audience.
• Be visionary (think about what should be done beyond what you're doing).

Nice to haves

• Experience working with biomedical data.

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.

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.

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.