Senior Computational Chemist Lead
20 hours ago
As a Senior Computational Chemist Lead, you will be part of a dynamic team at Takeda driving innovation and delivering transformative therapies to patients worldwide.
Key Responsibilities- You will lead multidisciplinary teams of Medicinal Chemists, Data Scientists, Structural Biologists, Pharmacologists, and Biologists to advance drug discovery projects using computational expertise.
- Your key objective is to contribute to drug discovery efforts across various modalities including small molecules, bifunctional degraders, peptides, RNA/oligonucleotides, and biologics.
- You will implement and execute innovative computational methodologies and tools such as AI approaches to support drug discovery efforts.
- You will demonstrate an expert understanding of computational chemistry principles and their application within a multidisciplinary drug discovery environment.
- Identify, develop, validate, and implement innovative computational approaches that improve research productivity and success.
- You will provide crucial technical knowledge and input to project teams to drive decision-making in drug discovery projects.
- Build and develop a strong team of Computational Chemists to high productivity levels.
- Demonstrate leadership and enterprise thinking in managing a multi-disciplinary team.
- You will possess expertise in a variety of computational tools and methodologies including docking, virtual screening, molecular dynamics, free energy perturbation, homology modeling, quantum mechanics, pharmacophore elucidation, data mining, machine learning, cheminformatics, clustering, similarity & diversity analysis.
- You should have significant industry experience contributing as a Computational Chemist on drug discovery projects.
- A strong track record of progressing discovery projects from hits to clinical leads.
- Extensive knowledge and experience in using a variety of tools for hit ID.
- You will provide project teams with computational strategies to inform, influence, and prioritize compound designs for potency/selectivity and improve ADME/Tox endpoints.
- The ability to effectively integrate emerging generative chemistry methods and other modern machine learning and artificial intelligence (AI) applications in small molecule drug discovery.
- Proficiency with state-of-the-art computational chemistry software.
- Networking opportunities with renowned researchers in computational chemistry/AI.
- A PhD degree in a relevant scientific discipline.
- No less than 6 years of industry (pharma/biotech) drug discovery experience required.
Taken from Boston, MA, this role offers a competitive salary range of $149,100.00 - $234,300.00, commensurate with qualifications and experience. We are an equal opportunity employer committed to creating a diverse workforce and providing employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran.
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