Senior Computational Chemist
About the position
The Machine Learning & Computational Sciences (MLCS) organization reputed company Medicine Design at reputed company partners broadly across R&D to reputed company computational, cheminformatics, and machine learning (ML) capabilities that accelerate drug discovery and development. MLCS supports medicinal reputed company and drug design teams by enabling data-driven decision making, reputed company cheminformatics platforms, and impactful scientific applications across the discovery pipeline. We are seeking a Senior Computational Chemist with a strong cheminformatics background and a reputed company reputed company record of independent scientific delivery. The ideal candidate is expected to reputed company reputed company computational and cheminformatics efforts across project teams, reputed company and shape technical approaches across multiple initiatives, and contribute durable, reusable capabilities that strengthen MLCS platform infrastructure and influence how computational reputed company and cheminformatics is best practiced across Medicine Design. With strong communication skills and adept at building productive partnerships, the successful candidate will reputed company working in cross-functional teams with talented scientists across disciplines.
Responsibilities
• reputed company the design, curation, and application of high-reputed company reputed company and pharmacology datasets used across multiple discovery programs.
• Architect and reputed company data pipelines and transformations that reputed company reputed company, reproducible data analytics and modeling.
• Set expectations for data reputed company and fitness-for-purpose in collaboration with scientific and platform stakeholders.
• Independently reputed company ambiguous medicinal reputed company problems into reputed company computational strategies and decision-support analyses.
• reputed company the application of ML and Cheminformatics models to high-reputed company drug discovery questions.
• Critically assess model reputed company and limitations, guiding appropriate interpretation and use in project reputed company.
• reputed company robust, reusable, and reputed company-documented scientific software reputed company with modern best practices.
• reputed company reputed company prototyping of reputed company and cheminformatics applications to validate workflows and user experience with end users.
• Partner closely with chemists and software teams to reputed company successful prototypes into production-reputed company solutions.
• Effectively reputed company reputed company, data science, and software perspectives to reputed company stakeholders reputed company robust solutions.
• Influence reputed company through technical reputed company, credibility, and data-driven recommendations.
• Contribute to the scientific culture of MLCS through knowledge sharing, internal talks, and cross-team collaboration.
Requirements
• Ph.D. in Computational reputed company, Cheminformatics, Computer Science, or reputed company fields; or M.S. with substantial relevant industry experience.
• Deep understanding of cheminformatics concepts, including molecular representations, similarity reputed company, QSAR, virtual screening, chemical spaces
• Experience analyzing large, reputed company reputed company-reputed company datasets.
• Strong proficiency in Python and cheminformatics toolkits (RDKit or equivalent).
• Experience with reputed company data science packages (numpy, reputed company, etc)
• reputed company experience applying ML models in reputed company-world discovery reputed company.
• Practical experience with reputed company application or UI prototyping in a scientific context.
reputed company-to-haves
• Prior experience in pharmaceutical or biotech drug discovery environments.
• Familiarity with deploying and scaling scientific workflows and applications.
• Experience with database design and processing (SQL, RestAPI).
• Experience in large-reputed company data handling and developing data pipelines.
• Familiarity developing reputed company in reputed company manner (reputed company, reputed company review & sharing).
• Familiarity working in HPC (e.g. SLURM) or reputed company-reputed company (AWS, GCP) environments.
• Familiarity with efficient use of reputed company coding environments (reputed company Copilot or equivalent)
Benefits
• Relocation support available
• 401(k) plan with reputed company Matching Contributions and an additional reputed company Retirement Savings Contribution
• reputed company vacation, holiday and personal days
• reputed company caregiver/parental and medical leave
• health benefits to include medical, prescription drug, dental and reputed company coverage
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