Senior Cheminformatics Scientist
3 days ago
We are seeking a highly skilled and motivated Principal Scientist in Cheminformatics to play a pivotal role in leveraging computational methods and data analysis techniques to drive our drug discovery efforts forward.
Key Responsibilities:- Develop and implement innovative cheminformatics approaches to support drug discovery projects from target identification through lead optimization.
- Utilize computational tools and techniques to analyze chemical and biological data, extract meaningful insights, and generate predictive models to guide decision-making processes.
- Oversee the curation, annotation, and maintenance of our compound libraries, ensuring data integrity and accessibility for research activities.
- Conduct SAR studies to elucidate the relationship between chemical structure and biological activity, guiding the design of novel compounds with desired pharmacological properties.
- Apply virtual screening methods and molecular docking simulations to identify potential drug candidates from large compound libraries and virtual chemical space.
- Collaborate with medicinal chemists, biologists, and other team members to design focused compound libraries, prioritize screening compounds, and optimize lead series.
- Ph.D. in Chemistry, Computational Chemistry, Cheminformatics, or related field with 5+ years of industry experience, or Master's degree with 8+ years of relevant experience.
- Strong expertise in cheminformatics, including proficiency in molecular modeling, QSAR/QSPR, ligand-based and structure-based drug design, chemoinformatics databases, and molecular dynamics simulations.
- Proficiency in programming languages commonly used in cheminformatics, such as Python, R, or Java, and experience with relevant software packages (e.g., Schrödinger Suite, RDKit, Pipeline Pilot, KNIME).
- Demonstrated track record of applying computational methods to advance drug discovery projects, evidenced by publications, patents, or successful project contributions.
- Excellent analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
- Strong communication and interpersonal skills, with the ability to effectively present complex scientific concepts to diverse audiences.
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