Remote Senior Computational Chemist - Drug Discovery Lead

Placements24

Queenstown

Hybrid

NZD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Performance bonuses
Health, dental, and vision insurance
Flexible work schedule
Professional development budget

Job summary

Placements24 is seeking a Senior Computational Chemist for a fully remote drug discovery role. You will design and optimize novel drug candidates using molecular modeling, cheminformatics, and advanced simulations, collaborating with medicinal chemists and biologists.

The ideal candidate has a PhD in computational chemistry or related field, 6+ years of experience, and expertise with Schrodinger/MOE, AutoDock, GROMACS, and Python.

Qualifications

  • Ph.D. in Computational Chemistry or a related field.
  • Minimum 6 years of experience in computational chemistry applied to drug discovery.
  • Proficiency with computational chemistry software packages and programming in Python.

Responsibilities

  • Apply computational chemistry methods to drug discovery projects.
  • Perform virtual screening and docking studies to identify potential candidates.
  • Perform structure-based and ligand-based drug design and pharmacophore modeling.
  • Develop cheminformatics tools and databases for library analysis and property prediction.
  • Collaborate with medicinal chemists to guide design and synthesis of novel compounds.
  • Mentor junior computational chemists and contribute to best practices.

Skills

Python programming
Data analysis
Communication

Education

Ph.D. in Computational Chemistry or related field
6+ years experience in computational chemistry

Tools

Schrodinger
MOE
AutoDock
GROMACS
RDKit
OpenBabel

Job description

Placements24 is seeking a Senior Computational Chemist for a fully remote drug discovery role. You will design and optimize novel drug candidates using molecular modeling, cheminformatics, and advanced simulations, collaborating with medicinal chemists and biologists.

The ideal candidate has a PhD in computational chemistry or related field, 6+ years of experience, and expertise with Schrodinger/MOE, AutoDock, GROMACS, and Python.

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