Assistant Professor Computer-Aided Drug Design

at  Vrije Universiteit Amsterdam

• O2 Gebouw
• Amsterdam
• 1 / 0.8
• Faculty of Science
• Associate Professor, Assistant Professor
• Postdoc
• Closes on31-12-2024
  The Medicinal Chemistry division is looking for an assistant professor who can lead the Computer-Aided drug design group that plays a central role in the Medicinal Chemistry division.

YOUR FUNCTION

Using Computer-Aided Drug Design (CADD), the candidate is able to develop new methodologies and integrate drug synthesis and molecular pharmacology activities by improving molecular understanding of ligand-protein interactions.
We are seeking an Assistant Professor to lead the Computer-Aided Drug Design (CADD) group within the Medicinal Chemistry division. The successful candidate will develop methodologies in molecular modeling, data management and machine learning to advance the understanding of ligand-protein interactions.
With a background in drug development, medicinal chemistry, and computational chemistry, the candidate will support research on G-Protein Coupled Receptors and Fragment-Based Drug Discovery. The role requires expertise in both ligand-based and structure-based drug discovery, and the molecular insights obtained will help guiding synthetic chemists and molecular pharmacologists through interdisciplinary collaboration within the division.

YOUR PROFILE

• Experience in developing and applying a wide variety of computational techniques (including protein structure predictions, molecular dynamics, docking, virtual screening, structural chemogenomics, machine learning, AI, free-energy perturbations, etc.)
• Data management expertise, cheminformatics and bioinformatics
• Experience in modelling of G-protein coupled receptors and enzymes
• Experience in programming and scripting.
• A strong publication record
• Good communicative skills in writing and speaking
• A track record in attracting research funding
• Leadership skills that help to lead the computer-aided drug design group
• The ability to motivate and teach graduate and undergraduate student.
  We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.
  As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.

YOUR FUNCTION

Using Computer-Aided Drug Design (CADD), the candidate is able to develop new methodologies and integrate drug synthesis and molecular pharmacology activities by improving molecular understanding of ligand-protein interactions.
We are seeking an Assistant Professor to lead the Computer-Aided Drug Design (CADD) group within the Medicinal Chemistry division. The successful candidate will develop methodologies in molecular modeling, data management and machine learning to advance the understanding of ligand-protein interactions.
With a background in drug development, medicinal chemistry, and computational chemistry, the candidate will support research on G-Protein Coupled Receptors and Fragment-Based Drug Discovery. The role requires expertise in both ligand-based and structure-based drug discovery, and the molecular insights obtained will help guiding synthetic chemists and molecular pharmacologists through interdisciplinary collaboration within the division.

YOUR PROFILE

• Experience in developing and applying a wide variety of computational techniques (including protein structure predictions, molecular dynamics, docking, virtual screening, structural chemogenomics, machine learning, AI, free-energy perturbations, etc.)
• Data management expertise, cheminformatics and bioinformatics
• Experience in modelling of G-protein coupled receptors and enzymes
• Experience in programming and scripting.
• A strong publication record
• Good communicative skills in writing and speaking
• A track record in attracting research funding
• Leadership skills that help to lead the computer-aided drug design group
• The ability to motivate and teach graduate and undergraduate student.
  We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.
  As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.

Please refer the Job description for details