AI R&D Manager

About the Role

As Manager of 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 chemical realism and relevance.
• People & Team Management:
  • Hire, manage and mentor a highly skilled team of 6+ scientists, encompassing 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 the 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 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 – 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 – collaborative spirit, thriving in an interdisciplinary environment.
• Humility – open to feedback and different perspectives, always striving for improvement.

Benefits

• Expanding drug discovery pipeline focused on critical therapeutic areas with in‑vivo proof‑of‑concept and patent‑stage programs.
• World‑class interdisciplinary team working at the intersection of AI, physics‑based modeling, biology and medicinal chemistry.
• DeepTech recognition as part of French Tech 120 and France 2030.
• Prime location with flexibility: offices in Paris and London (King’s Cross), with up to two remote days per week.
• Strong financial backing: $100 M raised from leading European and international investors.