Data Scientist
Team: Platform
Location: Paris
Commitment: Full-time contract
Workplace Type: hybrid
About This Role
As part of the Rocket Launcher team, you’ll play a central role in advancing hit identification, hit expansion, and hit‑to‑lead efforts. You’ll refine and elevate our virtual screening and hit‑optimization pipelines, leveraging a multidisciplinary approach to deliver high‑impact improvements. You’ll partner closely with experts across domains and lead cross‑functional projects that integrate state‑of‑the‑art computational technologies into our discovery workflows.
What You’ll Be Doing
- 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.
(Note: This position does not involve deep learning methods development.)
You Could Be a Great Fit If
- 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.
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