Molecular Generation Team Manager

🕒 March 18

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AQEMIA

WebsiteLinkedInAll Job Openings

11 - 50 employees

💰 Series A on 2022-10

Aqemia is a pharmatech company using quantum physics and artificial intelligence to transform the drug discovery process. With a unique proprietary technology that preclude the use of experimental data, our pipeline scales the drug discovery process at an unprecedented pace, generating an exhaustive number of new drug candidates.

📋 Description

• Lead the multidisciplinary team responsible for developing methods to design novel, highly potent and synthesizable molecules. • Leverage physics-based methods and state-of-the-art Machine Learning techniques to guide molecular design. • Focus specifically on 3D structural constraints and target interactions. • Define and execute the roadmap for developing structure-based AI generative models. • Establish clear, measurable KPIs for synthesis success and novelty of generated molecules.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible work arrangements including up to two remote days per week • Strong Financial Backing: $100M raised from leading European and International investors