Scripps Research · 20 hours ago
RESEARCH SCIENTIST- Cheminformatics
Scripps Research is a nonprofit translational research institute dedicated to creating the next generation of medicines. The Computational Chemistry team is seeking a Cheminformatician responsible for developing and applying advanced computational methods across the drug discovery pipeline, focusing on machine learning techniques to analyze and interpret complex chemical data.
BiopharmaBiotechnologyMedical
Responsibilities
Data Analysis and Modeling: Build, test, and optimize machine learning models for the analysis of large chemical datasets. Develop QSAR/ML models for predicting bioactivity, pharmacokinetic, and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiles; large-language models (LLMs) for querying drug information across mechanism of action, target, disease indication, patent information, and screening data; and generative AI models for drug design and lead optimization
Algorithm Development: Design and develop algorithms and tools for chemical structure representation, searching, and clustering for SAR analysis and identification of novel chemical space for drug and library design as part of the medicinal chemistry team
Collaboration: Work closely with interdisciplinary teams including medicinal chemists, biologists, and computational scientists to readily apply and integrate cheminformatics tools into drug discovery programs
Data Management: Manage chemical databases, ensuring data integrity, quality, and accessibility. Develop tools for data mining and visualization
Details of established essential functions for this position will be addressed/discussed during the interview process
Qualification
Required
BS, MS, or PhD in Computer Science, Data Science, Computational Chemistry, Bioinformatics, or a related field
Minimum of 1 year of research experience
Background in machine learning, data science, and statistical analysis
Strong proficiency in Python (additional SQL and/or JavaScript experience preferred) and its data analysis libraries (e.g. Pandas, NumPy, scikit-learn)
Excellent oral and written communication skills
Ability to work independently and as part of a team
Preferred
Experience with cheminformatics toolkits and software (e.g. RDKit, Schrodinger Maestro, PyMOL)
Organic chemistry and/or biochemistry coursework experience
Benefits
Employer Contributed Retirement Plan – Depending on eligibility, employees receive an employer contributed retirement plan (no employee contribution required) and the option to contribute to a 403(b) using your own pre or post-tax dollars.
Full suite of Health and Welfare plans including four medical plan options (including an HSA available option), dental, vision, life insurance, disability, EAP and more.
Access to Flexible Spending Accounts (Medical/Dependent Care).
Competitive vacation and sick leave policies.
Free, on-site parking.
Company
Scripps Research
Scripps Research is a leader in the discovery and application of biomedical breakthroughs that improve human health.
H1B Sponsorship
Scripps Research has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$71.2MKey Investors
National Institute of Diabetes and Digestive and Kidney DiseasesThe Conrad Prebys FoundationNational Institute of Allergy and Infectious Diseases
2025-10-08Grant· $3.2M
2025-05-28Grant· $1M
2022-05-18Grant· $67M
Leadership Team
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