Job Description:
We are seeking an experienced and passionate Computational Chemist to join Kymera Therapeutics. The successful candidate will apply cutting-edge computational chemistry and cheminformatics approaches, in combination with medicinal chemistry design principles, to support our platform and pipeline projects. As a technical lead, you will be critically contributing to all aspects of drug discovery. You will also contribute to our unique discovery engine to design highly efficient, selective, and potent degraders. This is a truly unique opportunity to be at the forefront of the targeted protein degradation space.
Kymera Therapeutics is a clinical stage biotechnology company focused on advancing the field of targeted protein degradation (TPD), a transformative new approach to address previously intractable disease targets. Kymera’s Pegasus™ TPD platform harnesses the body’s natural protein recycling machinery to degrade disease-causing proteins, with a focus on undrugged nodes in validated pathways currently inaccessible with conventional therapeutics. Our mission is to discover, develop, and commercialize transformative therapies while leading the evolution of targeted protein degradation. Kymera’s goal is to become a fully integrated biopharmaceutical company with a pipeline of novel medicines, with an initial focus on immune-inflammatory diseases and oncology.
In 2023, we plan to continue to advance our leadership in TPD and enhance our capabilities to deliver on the potential of inventing a new class of protein degrader medicines for patients. Kymera is rapidly advancing four clinical stage programs in oncology and immunology, and is positioned to deliver one additional Investigational New Drug Applications (IND) annually. We are also actively advancing a broad pipeline of preclinical programs where TPD has the potential to provide a best-in-class approach, both internally and in collaboration with our partners Sanofi and Vertex Pharmaceuticals.
Responsibilities:
- In close collaboration with medicinal chemists and project teams, apply drug-design and computational chemistry methods towards hit-finding, optimization of potency, selectivity, and ADME properties while minimizing toxicological risks.
- Assimilate, summarize, and apply SAR understanding by leveraging physics-based and data-driven ML/AI modeling technologies to address discovery challenges.
- Contribute to the design and implementation of new technologies and approaches to drugging traditionally intractable targets.
Qualifications:
- PhD, or equivalent, in the field of chemistry or computational chemistry with approximately 6+ years industry experience.
- Demonstrated ability to leverage modern computational chemistry and cheminformatics approaches, including structure/ligand/fragment-based design, virtual screening, MD simulations, and machine-learning in solving drug discovery challenges.
- Strong understanding of Biology, Medicinal Chemistry, and DMPK principles.
- Ability to independently solve problems, to think critically and creatively as part of a fast-paced and experienced multidisciplinary team.
- Attention to detail, commitment to quality and a team player mentality.
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