12 Month University Industrial Placement Student: Computational Chemistry
Core
12-month industrial placement supporting medicinal chemistry design efforts to discover and optimize new drugs in the Oncology therapeutic area.
Role type
Undergraduate placement student (computational chemistry)
Builds
New drug candidates for oncology
Domain
Biopharmaceuticals / Oncology / Drug Discovery
Deliverable
production ML models | product features
Required skills
Structure-based drug design, Ligand-based drug design, Machine learning for de novo molecule design, Cheminformatics workflows, Physics-based modelling (docking, free energy perturbation, molecular dynamics), Commercial software usage (Maestro, MOE), Programming
Preferred skills
None stated
Technologies
Maestro, MOE
Responsibilities
Carrying out structure- and ligand-based drug design, Employing machine learning and generative AI algorithms for de novo molecule design, Implementing cheminformatics workflows, Analysis of data from literature and high-throughput screens, Running physics-based modelling including docking, free energy perturbation and molecular dynamics simulations
Seniority
Undergraduate placement