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Principal Scientist/Research Fellow, Molecular Modelling – Structural Biology

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full-time

Posted on:

Location Type: Office

Location: Copenhagen • 🇩🇰 Denmark

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Job Level

Lead

About the role

  • Drive drug discovery projects by identifying, developing, and delivering high quality modelling approaches
  • Be directly involved in the drug discovery project teams
  • Proactively lead modelling using innovative approaches, including physics-, and ML/AI-based methods for prioritization and design
  • Have a high impact on drug discovery campaigns by driving project strategies, from hit finding, lead optimization and drug candidate selection
  • Work closely with Medicinal Chemistry and Biotherapeutic Discovery

Requirements

  • PhD in Computational Chemistry, Computational Structural Biology, or related field
  • Several years of experience in Pharmaceutical Industry
  • Comprehensive knowledge and experience with most Computer-Aided Drug Design concepts and techniques
  • Experience with ML/AI- and Physics-based methods using industry standard modelling tools, MD simulations, FEP, and AlphaFold-like models
  • Extensive experience in small molecule Drug Discovery, or protein/antibody engineering
  • Experience solving antibody engineering related challenges, like humanization, immunogenicity, and developability
Benefits
  • Lundbeck offers an inspiring workplace and innovative culture
  • rewarding careers with a mix of exciting tasks and development opportunities that are balanced with initiatives focused on your well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Computer-Aided Drug Designmodelling approachesML methodsAI methodsMD simulationsFEPAlphaFold-like modelssmall molecule Drug Discoveryprotein engineeringantibody engineering
Soft skills
leadershipproject managementcollaborationcommunicationstrategic thinkingproblem-solvinginnovationproactivityteamworkimpact-driven
Certifications
PhD in Computational ChemistryPhD in Computational Structural Biology