Senior Research Data Scientist, Aqemia
3-5 days a week in office
AI and quantum physics driven drug discovery
Job no longer available
AI and quantum physics driven drug discovery
21-100 employees
Job no longer available
3-5 days a week in office
21-100 employees
Company mission
To design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology.
Role
Who you are
- PhD or equivalent with 8+ years in Data Science, Physics, Computational Chemistry, or related fields
- Strong Python programming skills
- Deep experience in scientific data analysis, ideally in life sciences
- Solid understanding of statistical methods, bayesian optimisation and exploratory data analysis
- Demonstrated experience leading multi-team scientific initiatives
Desirable
- Familiarity with tools like RDKit, OpenMM, or SMILES or experience with molecular simulation data
- Knowledge of high-performance computing or cloud environments
- Pragmatic and Impact-Driven - Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability
- Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise
- Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery
- Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment
- Humility - Open to feedback and different perspectives, always striving for improvement
What the job involves
- You will join the Rocket Launcher team, which is dedicated to hit identification
- Your role is to optimise virtual screening and hit optimisation pipelines using a multidisciplinary approach
- You’ll collaborate across scientific domains and lead cross-functional projects to integrate cutting-edge computational technologies
- Evaluate and test virtual screening and hit optimisation pipelines for scientific effectiveness
- Align computational strategies with team objectives and drug discovery goals
- Lead interdisciplinary projects across physics, chemistry, data science, and ML teams
- Apply in-depth statistical (bayesian optimisation) and exploratory data analyses to improve pipeline performance
- Identify technical gaps and develop custom solutions
- Contribute to best practices in data analysis, coding, and screening workflows
- Stay current on literature and recommend improvements in virtual screening and hit optimisation
- Advise stakeholders on the technical feasibility and impact of proposed approaches
- Actively participate in planning analyses and identifying priorities and dependencies
- (Note: This position does not involve work in machine learning or deep learning methods development.)
Our take
The billion dollar drug discovery industry is set to see notable growth by 2032 with huge R&D investments being made. It’s generally accepted that this is one of the most important financed sectors in the world. AQEMIA joined the discovery train in 2019 with its deep physics and AI enabled drug revelation pipeline.
The company boasts its intricate level of accuracy within its physics algorithms that are fed into AI discovery, leading to a level of speed and in turn scaling drug discovery at an impressive rate. Creating a name for itself AQEMIA moves away from using experimental data and bases the AI powered outcomes on years of data and studies of its now impressive team of 50.
Aqemia’s discoveries have already made an impact in oncology and immuno-oncology trials. The company sets goals to be part of more life changing clinical trials with wholly or partly owned drug candidates and with significant funding continues to scale its platform to continue wins in its research. It will be exciting to see how more research and collaborations like that with Servier (international pharmaceutical company) will continue to grow its success.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Apr 2025
$7.4m
GRANT
Dec 2024
$41.5m
EARLY VC
Total funding: $130.2m
Company HQ
Necker, Paris, France
Leadership
Maximilien Levesque
(Co-Founder & CEO)Currently a Board Member of France Biotech. Founded Personal HPC and worked through several roles at École normale supérieure most recently as a Research Group Leader.
Emmanuelle Martiano Rolland
(Co-Founder & COO)Previous Principal at Boston Consulting Group after completing a Master of Science Imperial College of London.
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