Technical Lead – Large Molecule AI Systems

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Lead – Large Molecule AI Systems in Germany.

This role sits at the intersection of artificial intelligence, structural biology, and large-scale pharmaceutical research, focusing on the development of next-generation AI systems for biologics discovery. You will lead the delivery of complex machine learning programs applied to antibody modeling, protein folding, and developability prediction, transforming advanced scientific research into robust, production-ready systems. Working within a highly collaborative, research-driven environment, you will guide multidisciplinary teams of ML engineers and scientists, ensuring that experimental models evolve into reliable, scalable solutions used in real-world drug discovery workflows. The role requires balancing strategic technical leadership with hands-on contribution, particularly in model design, evaluation, and system architecture. You will also play a key role in aligning scientific stakeholders around clear objectives, timelines, and measurable outcomes. This is a high-impact position where your work directly accelerates innovation in pharmaceutical R&D through federated AI systems.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Lead – Large Molecule AI Systems in Germany.

This role sits at the intersection of artificial intelligence, structural biology, and large-scale pharmaceutical research, focusing on the development of next-generation AI systems for biologics discovery. You will lead the delivery of complex machine learning programs applied to antibody modeling, protein folding, and developability prediction, transforming advanced scientific research into robust, production-ready systems. Working within a highly collaborative, research-driven environment, you will guide multidisciplinary teams of ML engineers and scientists, ensuring that experimental models evolve into reliable, scalable solutions used in real-world drug discovery workflows. The role requires balancing strategic technical leadership with hands-on contribution, particularly in model design, evaluation, and system architecture. You will also play a key role in aligning scientific stakeholders around clear objectives, timelines, and measurable outcomes. This is a high-impact position where your work directly accelerates innovation in pharmaceutical R&D through federated AI systems.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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