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As an integral member of our multi-disciplinary drug discovery teams, you will direct investigative toxicology strategies to predict, assess and mitigate target- and modality-related safety risks in discovery programs.
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The candidate will also teach in other programs in the School of Pharmacy including the MS degree program in Artificial Intelligence and Computational Drug Discovery and Development, the PhD program in Pharmaceutical Sciences and Pharmacogenomics and the PharmD program.
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This role is an opportunity to help advance our portfolio of drug discovery projects through the design and synthesis of new chemical entities as a part of the Medicinal Chemistry Team. You will work as part of multidisciplinary teams from early discovery to the delivery of drug candidates.
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The ideal candidate will have a strong and established background in drug discovery and a proven track record of successfully leading diverse project teams and matrix teams to produce novel drug candidates.
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Provide strategic and technical leadership in the integration of AI/ML-based computation, computational biology and drug discovery, ensuring alignment with the company's overarching vision and objectives.
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PhD in Organic/Medicinal Chemistry with 15+ years of industry experience or MS in Organic/Medicinal Chemistry with 20+ years of industry experience in medicinal chemistry such that a clear track record of success in drug discovery can be readily demonstrated.
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As part of Recursion's neuroscience computational biology team, you will be at the forefront of reimagining neuroscience drug discovery using Recursion's massive data capabilities. Our group is a bold, agile, interdisciplinary collective of biological, computational, drug discovery, and machine learning scientists deeply focused on the singular goal of bringing new therapeutics to patients at an accelerated pace.
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PhD Degree in a quantitative field such as Statistics, Physics, Computational Biology, Quantum Chemistry, Computer Science, Mathematics (or a related field), or equivalent experience. PhD Degree in a quantitative field such as Statistics, Physics, Computational Biology, Quantum Chemistry, Computer Science, Mathematics (or a related field), or equivalent experience.
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We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform as we reinvent drug discovery and development from the ground up.
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PhD in biology, chemistry, neuroscience or related field with 8+ years of relevant drug discovery research experience, with commercial research experience preferred. This role will be responsible for setting strategy for ongoing drug discovery work, executing in vitro bench experiments, managing technical personnel, and communicating progress and findings to research leadership.
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The ideal individual has a PhD in Biochemistry , Medicinal Chemistry, or Organic Chemistry and 15+ years of industry experience leading automation and high throughput biology/chemistry for target ID, Novel Hit Discovery, Hit to Lead, and Lead Optimization campaigns across multiple target classes and disease areas as a member of the senior leadership team of a small to mid stage biotech company or the R&D organization of a large pharmaceutical company.
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This is a unique opportunity for a PhD-level biologist to be involved in high-impact drug discovery projects in the newly developed Center for Therapeutic Discovery at Dana-Farber Cancer Institute.
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PhD in relevant field with 3+ years of experience in drug discovery. Our client is seeking a skilled and experienced Senior Computational Biologist to join their dynamic team at a leading research organization based in Toronto, Canada, where your work will revolutionize drug discovery.
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The successful candidate will have shared responsibility for delivering established products, building new technologies into customer solutions, and establishing new algorithms for molecular modeling and machine learning in drug discovery.
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Demonstrated understanding of all aspects of modern drug discovery including medicinal chemistry, DMPK principles, multi-parameter optimization. Light Horse Therapeutics is a small molecule drug discovery company based in San Diego, employing tools from chemical and computational biology, in conjunction with precision genome editing methods to identify functional/ligandable sites on high value oncology protein targets for therapeutic intervention.
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