Data Scientist at Recommend transforming data into insights for global brands. Join a growing team and leverage your data skills.
About the role
- Data Scientist advancing drug discovery through virtual screening pipelines and interdisciplinary team collaboration. Enhancing hit identification, expansion, and optimization in a drug invention company in Paris.
Responsibilities
- Develop, run and evaluate virtual screening pipelines which allow Aqemia to identify promising chemical starting points.
- Develop, run and evaluate hit expansion and hit-to-lead pipelines which allow Aqemia to improve chemical starting points obtained during the phase of virtual screening.
- Contribute to interdisciplinary projects across physics, chemistry, data science, and ML teams.
- Apply in-depth statistical (for instance bayesian optimization) and exploratory research data analyses to improve pipeline performance.
- Contribute to identify technical gaps and develop custom solutions.
- Stay current on scientific literature and recommend improvements in virtual screening and hit optimization.
Requirements
- MSc (at least 3 years of experience after MSc) or PhD in Data Science, Statistics, Computer Science, or related fields.
- You are proficient in python or other object-oriented programming languages.
- Proven experience in scientific data analysis, ideally in life sciences.
- Proven understanding of statistical methods and exploratory research data analysis.
- You have excellent written and verbal communication skills, paired with a strong intellectual curiosity and the ability to quickly absorb new frameworks.
- Bayesian optimization is a plus.
- Experience with Cloud technologies is a plus.
- Experience with large datasets is a plus.
Benefits
- Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King’s Cross), with flexible work arrangements including up to two remote days per week.
- Strong Financial Backing : $100M raised from leading European and International investors
Job title
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