Post Doc for Protein De Novo Design (AI)

Location: Frankfurt am Main, Germany; onsite

Company

hirify.global is a biopharma company developing medicines through computational biology, artificial intelligence, and digital platforms.

What you will do

• Explore alternative protein scaffolds as potential therapeutics.
• Develop and evolve computational platforms for antibody and NANOBODY® de novo design.
• Develop, train, and integrate deep learning and machine learning models for protein design and optimization.
• Apply computational workflows to create novel protein variants for therapeutically relevant targets.
• Collaborate with screening and engineering teams to define experimental validation strategies.

Requirements

• Ph.D. in computational structural biology, computational life sciences, bioinformatics, computer science, biophysics, computational biology, data science, or a related life sciences field with strong AI/ML and computational protein design expertise.
• Experience implementing and applying machine learning methods for generative protein design.
• Strong publication record in protein design.
• Expertise in functional protein de novo design, protein folding, and protein complex formation.
• Proficiency in Python and related tools such as RFdiffusion, proteinMPNN, Rosetta, or pyRosetta.
• Experience with biological datasets, data pipelines, automated workflows, cloud environments, and high-performance computing.

Nice to have

• Knowledge of antibody and NANOBODY® structure, function, and engineering.
• Experience with generative protein language models, diffusion models, flow matching, predictive algorithms, and protein engineering.

Culture & Benefits

• Work at the intersection of drug discovery, AI, data, and digital platforms.
• Collaborate with international, interdisciplinary teams across science, clinical, and digital functions.
• Opportunities for scientific self-development, knowledge sharing, and work beyond the core area of expertise.
• Inclusive workplace with employee resource groups and leadership programs.
• Contribute to research focused on improving drug development and patient outcomes.