AI R&D Manager

Aqemia; France; Sur place; EUR 80 000 - 120 000; Plein temps

Avantages offerts par ce poste

Flexible work arrangements

Strong financial backing

Work in the heart of Paris and London

Résumé du poste

Aqemia is looking for a Manager of the Molecular Generation Team in Paris to lead a multidisciplinary group developing novel drug candidates using advanced AI and physics-based methods. Candidates should have a Master's degree or PhD in relevant fields and at least 2 years leading a machine learning or computational R&D team. The role includes hiring, team management, and driving innovation in drug discovery processes. The company offers a competitive environment with flexible working arrangements and significant financial backing.

Qualifications

• Master’s degree or PhD in Machine Learning, Computational Chemistry, Statistical Mechanics, Physics, Computer Science or a related field.
• Minimum of 2+ years of experience leading a machine learning team or computational R&D team.
• Proven expertise in generative AI techniques.

Responsabilités

• Lead the multidisciplinary team to develop AI generative models.
• Hire and mentor a skilled team of scientists.
• Drive the integration of physics-based calculations in workflows.

Connaissances

Leadership in machine learning

Generative AI expertise

Proficiency in Python

Team management

Communication of complex concepts

Formation

Master’s degree or PhD in relevant fields

Outils

MLOps

Cloud computing environments

Description du poste

About AQEMIA

AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule‑invention platform, which uniquely combines cutting‑edge science with advanced technology. Powered by physics‑based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles.

About our Team

AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers—including chemists, physicists, machine learning experts, and software engineers—work side by side to push the boundaries of early‑stage drug discovery.

The role

As Manager of the Molecular Generation Team, you will lead the multidisciplinary team responsible for developing our methods to design novel, highly potent and synthesizable molecules. You will be responsible for leveraging physics‑based methods and state‑of‑the‑art machine learning techniques to guide molecular design, focusing specifically on 3D structural constraints and target interactions.

What you’ll do

• Strategic & Technical Leadership:
• Define and execute the roadmap for developing structure‑based AI generative models.
• Establish clear, measurable KPIs for synthesis success and novelty of generated molecules.
• Drive the integration of physics‑based calculations into the generative machine learning workflow to enhance the chemical realism and relevance of generated molecules.
• People & Team Management:
• Hire, manage and mentor a highly skilled team of 6+ scientists, including AI research scientists and computational chemists.
• Own the recruitment process for key technical hires, ensuring the team maintains world‑class expertise at the intersection of chemistry, physics and AI.
• Foster a culture of high performance, psychological safety and continuous learning, providing technical guidance and growth opportunities for individual contributors.
• Collaboration & Delivery:
• Ensure seamless handoff of molecular generation algorithm to downstream teams.
• Enable integration of physics and AI‑based predictors in the molecular generation workflow.
• Communicate complex scientific progress and strategic risks clearly.

What we’re looking for

• Master’s degree or PhD in Machine Learning, Computational Chemistry, Statistical Mechanics, Physics, Computer Science or a related field.
• Minimum of 2+ years of experience leading a machine learning team, computational R&D team in drug discovery or a closely related field.
• Proven expertise in generative AI techniques.
• Proficiency in Python, experience with MLOps and cloud computing environments.
• Ability to translate fundamental scientific research into a clear, scalable product roadmap that aligns with commercial goals.
• Exceptional ability to communicate complex concepts to both specialized scientists and non‑technical stakeholders.
• Proven ability to manage risk, handle scientific failure inherent in R&D, and lead an autonomous team in a fast‑paced startup environment.

Preferred mindset

• 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.

Why Join Us?

Expanding Drug Discovery Pipeline: focused on critical therapeutic areas like oncology, CNS, immuno‑inflammation with in‑vivo proof of concept/patent stage programs and collaborations with top pharma, including a $140M Sanofi deal.

World‑Class Interdisciplinary Team: work alongside exceptional talent at the intersection of technology and life sciences.

DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030.

Prime Location with Flexibility: offices 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.