Grad Co-op — Computational Safety Modeling for Small Molecules

Amgen • Thousand Oaks, CA

6d

About The Position

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Grad Co-op — Computational Safety Modeling for Small Molecules What You Will Do Let’s do this. Let’s change the world. We are seeking a graduate co-op to help expand our computational toolbox for assessing the safety of small molecule drug candidates and potentially other modalities. Working with computational scientists and nonclinical safety experts, you 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

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level