Lead Scientist – Large Molecules

• Define the scientific workflow, evaluation strategy, and benchmarking approach for large molecule programs, including antibody-antigen co-folding, binder prediction, and antibody developability
• Use Apheris's product as a hands-on user and define user requirements for large molecule workflows
• Drive adoption of large molecule models with pharma partners and support them in applying models to relevant programs and use cases
• Translate scientific and biological requirements from pharma partners into concrete inputs for the ML/engineering team
• Review model outputs and evaluation results against structural biology and antibody engineering knowledge
• Represent Apheris's scientific perspective in partner conversations across large molecule networks
• Stay current on the large molecule AI/ML landscape, including OpenFold, AlphaFold, Boltz, ESM, and antibody design/developability literature
• Work with product, ML, and engineering teams to ensure scientific requirements shape the roadmap

• You have a PhD, MSc, or equivalent experience, plus 5+ years in structural biology, antibody engineering, immunology, protein engineering, or a related biologics discipline
• Real hands-on experience in antibody design, developability, or binder discovery
• Some exposure to applying AI/ML to biological problems
• Understand AI/ML models well enough to contribute to a modeling workflow and judge whether outputs make sense
• Comfortable partnering closely with ML/engineering teams and translating between biological reasoning and technical implementation
• Clear communication across scientific and technical audiences and with pharma partner stakeholders
• Familiarity with OpenFold, AlphaFold, Boltz, or similar structure prediction tools (nice to have)
• Experience with antibody developability assays, immunogenicity, or biologics manufacturability (nice to have)
• Experience working directly with pharma partners or in a consortium/collaborative research setting (nice to have)
• Publication record in structural biology, immunology, or antibody engineering venues (nice to have)

• Competitive compensation with early-stage virtual share options
• Remote-first, with flexibility on work location
• Wellbeing support: mental health resources, work-from-home budget, co-working stipend, learning budget
• Generous holiday allowance
• Optional office days at Berlin HQ or another European location (roughly 3x a year)