You will utilize computational techniques to design and optimize small molecules, guide structure-based drug discovery, and provide key insights into target-ligand interactions. Your work will be critical in shaping the direction of our early-stage discovery programs and driving our mission to develop transformative cancer therapies.
Qualifications:
- Ph.D. in Computational Chemistry, Cheminformatics, or a related field, with a focus on small molecule drug discovery.
- 3+ years of experience in computational chemistry within the biotech or pharmaceutical industry, working with small molecules.
- Expertise in molecular modeling, structure- and ligand-based drug design, virtual screening, and computational approaches for hit-to-lead and lead optimization.
- Strong understanding of medicinal chemistry principles, protein-ligand interactions, and drug development pipelines.
- Proficiency with relevant software tools and platforms, such as Schrödinger, MOE, OpenEye, or similar.
- Experience working in cross-functional teams with chemists, biologists, and structural biologists.
- Demonstrated success in progressing drug discovery programs from hit identification through lead optimization.
- Strong communication and collaboration skills, with a proactive and entrepreneurial mindset.
