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
Data Science is at the heart of BenevolentAI, transforming our massive and complex biomedical data into valuable tools for drug discovery. As a Data Scientist Intern, you will work collaboratively across different machine learning teams across the company, building on and evaluating key components of our information extraction, data integration and gene prioritization capabilities. . You will apply your skills to develop new analyses and visualizations in order to rigorously understand and improve the quality of our data and methods for information extraction.Primary responsibilities
- Work with your team(s) to establish appropriate data quality controls, benchmarks, and meaningful performance metrics
- Design and implement data analysis and visualizations to better understand the quality of our data and information extraction systems
- Identify opportunities to improve data quality and engineer solutions in the context of well-maintained and well-documented code bases
- Communicate findings and results to your team
We're looking for someone with
- Strong in at least one programming language (Python or R preferred)
- Strong understanding of statistical methods for comparing model predictions, data curation and analysis
- Experience working with data science tools for manipulating and visualizing data (such as pandas, numpy, scikit-learn, jupyter notebooks, etc.)
- A problem-solving, impact-oriented mindset with an ability to understand user needs
- Strong communication skills
- Team oriented, able to thrive in a multidisciplinary environment
- Knowledge of biology and experience working with biomedical data is a plus
- Experience working with NLP and/or knowledge graphs is a plus
Nice to haves
- Knowledge of biology and experience working with biomedical data is a plus
- Experience working with NLP and/or knowledge graphs is a plus
Notes
Applications close on Wednesday 1st March 2023. Our interview process will commence after applications close and will take place over 3-4 weeks. Internships can commence anytime from Monday, June 5th 2023
In addition to your CV, please send us a cover letter.
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 think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Terms and Conditions
Salary: We offer remuneration for the duration of the internships. However, remuneration remains subject to the University regulations & T&C’s - should they not comply with our policy, we reserve the right to review the salary allowance.
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