Director of Computational Drug Discovery, AI/Machine Learning | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equitybenefits Our client is a pioneering technology provider that is reshaping how AI is applied within pharmaceutical R&D. They provides a neutral, production-grade infrastructure that enables global pharmaceutical companies to collaborate securely on large-scale AI models without ever sharing their proprietary data. By leveraging federated computing, they power multi-partner data networks across small molecules, antibodies, and protein folding. Unlike traditional biotech firms, they do not develop their own drug assets; instead, they empower their partners' computational teams to accelerate their own discovery programmes. The Role of Director of Computational Drug Discovery, AI/Machine Learning | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equitybenefits We are seeking a Director of Computational Drug Discovery to build and lead a high-impact team of application scientists. This is a hands-on, externally facing leadership role requiring deep scientific credibility and the ability to engage directly with senior stakeholders at the world's leading pharmaceutical companies You will bridge the gap between cutting-edge Machine Learning and real-world drug discovery, ensuring our models and workflows deliver measurable value in practical industrial settings. Responsibilities: Own the scientific direction across various modalities and data types, defining which drug discovery problems and workflows the platform prioritises. Act as a peer-level counterpart to pharma R&D leaders, providing authoritative guidance grounded in real-world discovery experience to help get new collaborations over the line. Lead an established core team including senior medicinal chemists, machine learning engineers and oversee the recruitment of additional members over the next 6–9 months. Partner with internal Product and ML/AI teams to translate customer needs into clear model requirements and enterprise-grade software solutions. Represent the organisation within the scientific ecosystem through publications, talks, and direct engagement with the community. Requirements for the role: PhD in computational chemistry, cheminformatics, computational drug discovery, or a closely related field. 8 years of post-PhD industry experience in computational drug discovery, with a proven impact on programmes from hit finding through to lead optimisation. Deep, practical knowledge of structure-based and ligand-based design, ADMET modelling, and the integration of biophysical data. Exceptional understanding of modern ML approaches and the judgement to know where these technologies materially improve outcomes. Comfortable operating in a fast-paced, venture-backed, remote-first environment. A clear drive to enable customer discovery programmes rather than running internal pipelines. Strong undertanding of Co-Folding and OpenFold3 What can they offer you? A high-influence role working closely with the founders to shape company strategy. Up to 200,000 Euros or GBP depending on location salary Remote-first working with a dedicated work-from-home budget and co-working stipend. Comprehensive suite of benefits, including a wellbeing budget and mental health support. Generous holiday allowance. If you think you would be a good fit for the Director of Computational Drug Discovery, AI/Machine Learning | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equitybenefits - Drop over your CV and we will give you a call.