Expertise surrounding machine learning engineers, project managers, medicinal chemists and physicists.
An opportunity of working with a next generation pharmatech company designing fact innovative drug candidates for critical diseases. They have already delivered several drug discovery successes through various collaborations with pharmaceutical companies.
You will be responsible for selecting, designing, optimising molecules for synthesis in a multitude of drug discovery programs guided by data-driven hypotheses. Involvement covering the entirety of the project lifecycle, from nomination to pre-clinical, working alongside a dynamic team. Should offer systemic feedback driving continuous improvement.
Expected Skills:
1. Familiarity with standard computational chemistry packages
2. Experience in structure-based drug design and chemoinformatic
3. Collaboration with machine learning engineers, project managers, medicinal chemists and physicist
Further Expertise:
1. Generative AI algorithms
2. Molecular prediction models and molecular dynamics
3. Medicinal chemistry
4. Chemoinformatic tools (protein homology, pharmacophore hypothesis generation, molecule docking)
5. GPCRs
6. Biochemical assays and ADME- Tox data.