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RORoche Diagnostics GmbH

PostDoc in Computational and Experimental Protein Design(m/w/x)

Penzberg
VollzeitVor OrtSenior
AI/ML
Data Science

Developing computational methods for antibody engineering and drug discovery, integrating ML with Molecular Dynamics in a lab-in-the-loop setup. PhD in computational structural biology or related field, with deep ML understanding for protein prediction, required. Direct contribution to breakthrough drug discovery.

Anforderungen

  • Solid understanding of protein biophysics
  • Hands-on experience with core laboratory techniques for creating protein variants, such as protein expression and purification, or eagerness to learn
  • PhD in a relevant field, such as Computational Structural Biology, Bioinformatics, Biophysics, Biochemistry, or a related field with a strong computational focus
  • Deep understanding of machine learning approaches for protein structure and property prediction, and generative models
  • Familiarity with structural modeling and design platforms for biomolecules and protein-protein interactions (e.g. MOE, Schrödinger, Rosetta, modeling and docking algorithms)
  • Fluency in English and strong oral and written communication skills
  • Solid understanding of antibody structure and/or familiarity with immune repertoire sequencing datasets
  • Hands-on experience of in vitro testing methods for antibody characterization, such as Surface Plasmon Resonance (SPR)
  • Engagement in scientific research continuously since PhD and readiness to start an RPF postdoctoral activity no later than 4 years after completing PhD

Aufgaben

  • Develop and validate novel computational methods for antibody engineering
  • Integrate Machine Learning with Molecular Dynamics workflows
  • Implement a lab-in-the-loop approach for computational modeling and experimental validation
  • Create a predictor for antibody affinity maturation and developability
  • Contribute to drug discovery efforts for breakthrough medicines
  • Attend and present at scientific meetings
  • Interact with the scientific community and publish experimental advances
  • Collaborate with host teams and stakeholders on protein design algorithms

Berufserfahrung

  • ca. 4 - 6 Jahre

Ausbildung

  • Doktor / Ph.D.

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • MOE
  • Schrödinger
  • Rosetta
  • Surface Plasmon Resonance (SPR)
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