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. 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. R&D Clinical Pharmacology Modeling & Simulation - Grad Intern What You Will Do Let’s do this. Let’s change the world. During this program, you will explore the applicability and impact of different types of mathematical/pharmacological models for modeling safety and efficacy of various disease treatments. This opportunity provides the intern with projects that involve Crafting baseline models to benchmark performance in estimation and prediction in disease models Building appropriate modules/software scripts and associated visualizations to assess validity and performance of models Extending/Improving the model capabilities to increase performance in estimation and prediction What We Expect of You We are all different, yet we all use our unique contributions to serve patients. . The motivated individual we seek is a team player with these qualifications:

Requirements

  • Amgen requires that all individuals applying for a grad internship 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
  • Enrolled in an accredited college or university following the potential internship
  • Must not be employed at the time the internship starts
  • Student must be located in the United States for the duration of the internship

Nice To Haves

  • Pursuing a PhD or PharmD in the pharmaceutical sciences, statistics, engineering or bio-mathematics discipline
  • Has inquisitive mind and interest and passion for modeling biological data
  • Has exposure to pharmacological models/clinical trial data
  • Has sound knowledge of ordinary differential equations systems and modeling
  • Has proficiency in R/Python/NONMEM. Exposure to the biology of cancers/rare diseases a plus

Responsibilities

  • Crafting baseline models to benchmark performance in estimation and prediction in disease models
  • Building appropriate modules/software scripts and associated visualizations to assess validity and performance of models
  • Extending/Improving the model capabilities to increase performance in estimation and prediction

Benefits

  • 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.
  • 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.
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