Principal Scientist

GlaxoSmithKline

Collegeville, Pennsylvania, United States
Structure and ligand-based drug design
Ai/ml
Qsar modeling
We aim to efficiently accelerate the discovery and development of transformational medicines through the integration of advanced computational methods, predictive in silico models, and expert analyses

Job Summary

  • We aim to efficiently accelerate the discovery and development of transformational medicines through the integration of advanced computational methods, predictive in silico models, and expert analyses.
  • The successful applicant will collaborate with preclinical research and development business partners to impact the pipeline from target identification, modality selection, and molecule design to ultimately identify clinical candidate therapeutics.
  • Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Matching Summary

We aim to efficiently accelerate the discovery and development of transformational medicines through the integration of advanced computational methods, predictive in silico models, and expert analyses.

Skills & Requirements

Must-have

  • structure and ligand-based drug design
  • AI/ML
  • QSAR modeling
  • QM methods
  • protein structure prediction tools
  • Linux/Unix environment
  • Python scripting

Nice-to-have

  • drug discovery process knowledge
  • molecular simulation expertise
  • statistical analysis skills
  • scientific literature appraisal
  • interpersonal skills

Key Requirements

  • PhD in Computational Chemistry or related field
  • Publications and/or presentations
  • Experience in virtual screening
  • Experience in free energy methods
  • Experience in active learning
  • Experience in molecular generators
  • Experience in PROTACs, ADCs, Glues, Oligonucleotides
  • Experience with small molecules

Work Rights

Not specified

Tailored Resume

Cover Letter