Staff Ai Research Scientist

**About AQEMIA**

AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline.

We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization.

**About the team you’ll join**

As a Staff AI Research Scientist, you will join Aqemia’s Drug Discovery Platform Teams and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems.

You will collaborate closely with AI researchers, computational chemists, and drug discovery experts to integrate your innovations into Aqemia’s platform, ensuring direct impact on the discovery of novel therapeutics.

**What Does “Staff” Mean at Aqemia?**

A Staff AI Research Scientist at Aqemia is both a hands-on technical expert and a leader, ensuring that AI innovation is effectively integrated into our Drug Discovery Platform.

**This means you will be**:

- Be a technical leader - Drive the development of cutting-edge AI methodologies for molecular modeling and drug discovery.
- Mentor and support the team - Act as a scientific and technical mentor to junior and mid-level researchers, fostering innovation and knowledge-sharing within the team.

**Key Responsibilities**:

- Design and implement advanced machine learning techniques, including deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and interactions.
- Collaborate with interdisciplinary teams, including computational chemists, physicists, and medicinal chemists, to integrate AI-driven solutions into real-world drug discovery pipelines.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific innovation and excellence.

**Qualifications**:

- PhD or equivalent practical experience in AI/ML, Mathematics, Physics, Computational Chemistry or a related field.
- Strong problem-solving skills, autonomy and a collaborative mindset.
- Expertise in machine learning applied to proteins, small molecules, and molecular simulations.
- Strong programming skills in Python and proficiency with ML frameworks (e.g., PyTorch, JAX, TensorFlow).
- Hands-on experience with scientific computing libraries (e.g., RDKit, OpenMM) and molecular representations (e.g., SMILES, molecular graphs, 3D structures).
- Ability to bridge AI research with practical drug discovery challenges, designing scalable and interpretable models.
- **
Nice-to-Have Qualifications**:

- Experience with physics-informed ML models.
- Background in free energy calculations, docking, or molecular property prediction.
- Familiarity with high-performance computing (HPC) and cloud-based ML pipelines.

**Preferred Mindset**:

- Eagerness to learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.
- Love for highly scientific challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.
- Synergy minded - A collaborative spirit, thriving in an interdisciplinary environment.
- Humility - Open to feedback and different perspectives, always striving for improvement.

**Why Join Us ?**
- At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team._

**Expanding Drug Discovery Pipeline**: Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.

**Interdisciplinary Team** : brilliant talent from tech and life sciences.

**DeepTech Recognition**: Part of French Tech 120 and France 2030.

**Prime Location** : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.

**International Environment**: The work language is English - relocation support and French lessons granted if needed.

**Strong Financial Backing** : $100M raised from leading European and International investors