Amgen

Grad Co-op — Computational Safety Modeling for Small Molecules

Amgen

US · Posted 49 min ago

$35–$41/hr Research Remote
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Location: United States - Remote

Career CategoryCollege JobJob DescriptionJoin 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.

What you will do

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 Program Eligibility 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 What We Expect of You We are all different, yet we all use our unique contributions to serve patients. The individual we seek is a team player with these qualifications:

Basic Qualifications:

Amgen requires that all individuals applying for a grad internship or a co-op assignment at Amgen must meet the following criteria:

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

Preferred Qualifications:

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 What You Can Expect of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The base pay range for this opportunity in the U.S. is $35.34 - $41.20 per hour.

Build a network of colleagues that will endure and grow throughout your time with us and beyond.

Bring your authentic self to the table and become the professional you’re inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities.

Participate in executive and social networking events, as well as community volunteer projects. Apply now and make a lasting impact with the Amgen team.careers.amgen.com - Please search for Keyword R-257124 In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a suf

What they are looking for

Python Machine learning Cheminformatics Predictive toxicology Version control

Details

Work type
Remote
Compensation
Paid
Remote eligible
Yes

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