Technical Lead – Large Molecule AI Systems

Apheris is focused on revolutionizing AI applications in pharmaceutical R&D. The role involves leading teams to develop and operationalize large-scale ML systems for antibody modeling and biologics discovery, while ensuring high-quality model releases and aligning objectives with consortium members.

Responsibilities:

• Lead teams building and delivering federated large molecule AI systems, staying hands-on across antibody modeling, co-folding, binder prediction, and developability
• Build and implement ML applications large biomolecular foundation models such as OpenFold, Boltz-2 and ESM. Own delivery of these against committed milestones and ensure high-quality model releases ship on time
• Translate ambiguous scientific and technical goals into clear plans, priorities, workstreams, and decisions. Guide evaluation decisions and build on them to deliver results packages to external stakeholders
• Surface risks, blockers, bugs, timeline changes, and technical trade-offs early, with clear recommendations
• Align consortium members on objectives, evaluation criteria, data requirements, timelines, and delivery expectations
• Work with product, engineering, research, and leadership to ensure application requirements shape the model roadmap