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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cheminformatics, bioinformatics, and computational chemistry, with a strong focus on data analysis using Python and machine learning techniques. Capable of collaborating across disciplines to evaluate drug safety and document reproducible computational workflows.
Highest-signal resume keywords
Python Data AnalysisStatistical ModelingMachine LearningCheminformaticsPredictive Toxicology
ATS Keywords
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Hard Skills
Data AnalysisModel EvaluationComputational ChemistryToxicologyIn Vitro Assay Data AnalysisData CurationStructural Alerts DevelopmentAnalogue-Based Read-AcrossExperimental Results IntegrationReproducible Computational Workflows
Soft Skills
Clear CommunicationCollaboration
Tools & Technologies
Version ControlCollaborative Software Development
Industry Keywords
Small Molecule Drug DiscoveryNonclinical Safety AssessmentGraduate Program EnrollmentAccredited College or University
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Expand Amgen’s computational toolbox for assessing the safety of small molecule drug candidates and potentially other modalities
- Work with computational scientists and nonclinical safety experts on early drug-discovery safety predictions
- Identify, curate, and compare external and internal data, including chemical structures, assay results, and exposure information
- Develop and evaluate structural alerts, analogue-based read-across, machine learning, and models integrating experimental results with other safety evidence
- Evaluate model performance on relevant compounds
- Document context of use, uncertainty, applicability, and limitations
- Collaborate with computational scientists, medicinal chemists, and toxicologists to guide compound prioritization and follow-up experiments
- Present results and deliver reproducible analyses, documented model prototypes, and development recommendations
- Provide mechanisms for retraining as additional data is generated over time
Requirements
What you’ll need- 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, Master’s, PharmD, or Ph.D. program from an accredited college or university
- Completion of the first year of the applicable graduate program before the internship starts
- 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 model evaluation principles
- Ability to communicate technical findings clearly and work with scientists from different disciplines
- Experience with cheminformatics, predictive toxicology, or in vitro assay data analysis
- 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
- Candidates must be authorized to work in the U.S. for the duration of this program
Benefits
Comp & perks- Competitive benefits
- Collaborative culture
- Professional and personal growth and well-being support
- Networking opportunities with colleagues
- Executive and social networking events
- Community volunteer projects
- Inclusive culture valuing diversity of thought and experience
- Reasonable accommodation for individuals with disabilities