Chief AI officer

Key Responsibilities

• AI Strategy & Leadership
  • Define and execute the company's AI road map in alignment with scientific and commercial goals.
  • Build, lead, and mentor a multidisciplinary AI team combining expertise in computational biology, machine learning, and structural bioinformatics.
  • Foster collaboration between AI, wet lab, and clinical research teams.
• Research & Development
  • Drive development of protein folding prediction models, including integrating AlphaFold-like architectures and beyond.
  • Oversee target discovery & design through large-scale multi-omics analysis, molecular docking simulations, and de novo antibody engineering.
  • Advance affinity prediction algorithms to optimize binding strength, specificity, and manufacturability of therapeutic antibodies.
  • Lead integration of generative AI models for molecular design and optimization.
• Technology & Infrastructure
  • Establish scalable AI computing infrastructure and data pipelines for multi-terabyte biological datasets.
  • Evaluate and integrate cutting-edge open-source and proprietary AI tools into R&D workflows.
  • Ensure robust IP protection for AI-driven discoveries.
• Partnerships & Innovation
  • Build collaborations with academic institutions, technology companies, and research consortia.
  • Stay at the forefront of AI advancements in structural biology, computational chemistry, and bioinformatics.

MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicants