Grad Co-op — Computational Safety Modeling for Small Molecules
About The Position
Amgen is seeking a graduate co-op to help expand their computational toolbox for assessing the safety of small molecule drug candidates and potentially other modalities. Working with computational scientists and nonclinical safety experts, the co-op will contribute to a strategy that provides useful predictions early in drug discovery and brings experimental evidence into the assessment as it becomes available. This role combines scientific data assessment, model development, and collaboration with the researchers who use safety information to guide compound design and testing. The specific toxicity endpoints will be selected with the team based on scientific need and the quality of available data.
Requirements
- Must be available to work a part-time schedule.
- Expected continued enrollment in an accredited college or university following the internship program / co-op
- Student must be located in the United States for the duration of the internship program
- 18 years or older
- Graduated with a bachelor’s degree from an accredited college or university
- Currently enrolled in an MBA program for an MBA internship OR a Master’s program for a Master’s internship OR a PharmD program for a PharmD internship OR Ph.D. for a PhD internship from an accredited college or university and completion of the first year of MBA OR Master’s OR Pharm D OR Ph.D. program before the internship starts
- Candidates must be authorized to work in the U.S. for the duration of this program.
Nice To Haves
- Currently pursuing a graduate degree in cheminformatics, bioinformatics, computational chemistry or biology, data science, statistics, toxicology, or a related field
- Experience using Python to analyze scientific data
- Familiarity with statistical modeling and machine learning including the principles of model evaluation
- Ability to communicate technical findings clearly and work with scientists from different disciplines
- Experience with cheminformatics, predictive toxicology, or analysis of in vitro assay data
- Familiarity with small molecule drug discovery or nonclinical safety assessment
- Experience combining data from multiple sources and documenting reproducible computational workflows
- Familiarity with version control and collaborative software development
Responsibilities
- Identify, curate, and compare relevant external and internal data, including chemical structures, assay results, and exposure information where available
- Develop and evaluate approaches suited to each question. These may include structural alerts, analogue-based read-across, machine learning, and models that integrate experimental results with other safety evidence
- Evaluate performance on compounds relevant to the intended use, and document context of use, uncertainty, applicability, and important limitations
- Work with computational scientists, medicinal chemists, and toxicologists to explore how model outputs can guide compound prioritization and follow-up experiments
- Present results and deliver reproducible analyses, documented model prototypes, and recommendations for further development
- Provide mechanisms for retraining as additional data is generated over time
Benefits
- Competitive benefits
- Collaborative culture
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What This Job Offers
Job Type
Part-time
Career Level
Intern
