Principal Scientist - PKDM, Modeling and Simulation

Career Category

Job Description

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.

Principal Scientist-PKDM, Modeling and Simulation

What you will do

Let’s do this. Let’s change the world. In this vital role you will contribute to Amgen’s diverse discovery and development portfolio of therapeutic modalities with a focus on understanding the pharmacokinetics and pharmacodynamic properties of small and large molecule drug candidates being developed across multiple therapeutic areas in Amgen’s pipeline.

This role is responsible for supporting PKPD-related and mathematical modeling activities in the PKDM space for drug discovery and development. You will work directly with other PKDM stakeholders to apply quantitative solutions in the development of novel therapeutics through various activities including target/compound evaluation, design of preclinical studies, investigation of exposure-response relationships, execution of translational strategies, and influencing clinical study design.

Key Responsibilities:

• Devise and implement quantitative analysis and strategies to inform decision making in drug development by using mathematical modeling and quantitative pharmacology principles with a focus on mechanistic and translational modeling
• Collaborate with project team representatives within PKDM and multi-disciplinary teams to generate key knowledge to inform these quantitative strategies
• Conduct hands-on work on fit-for-purpose mathematical models (PK-PD, QSP, PBPK) using specialized relevant modeling tools. Apply AI-ML strategies to modernize traditional PK-PD modeling strategies
• Document and archive contributions including data analyses, mathematical models, summary presentations and reports to be shareable with other scientists and foster a collaborative environment
• Summarize and articulate salient findings, communicate conclusions back to project team representatives and cross-functional teams and actively participate in team discussions supporting decision making in drug development
• Build effective collaborations with peers and stakeholders within and outside the PKDM department including chemistry, biology, toxicology, biomarkers and protein scientists

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Principal Scientist we seek is a self-driven, dynamic team member with these qualifications:

Basic Qualifications:

• Doctorate degree PhD OR PharmD OR MD and 2 years of experience applying quantitative PKPD principles to drug development or other relevant experience
• OR
   
• Master’s degree and 5 years of experience applying quantitative PKPD principles to drug development or other relevant experience
• OR
   
• Bachelor’s degree and 7 years of experience applying quantitative PKPD principles to drug development or other relevant experience

Preferred Qualifications:

• Doctorate (Ph.D.) in chemical or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field with 2+ years of experience in drug discovery and development

• Proven record of applying systems modeling and simulation approaches in biological systems and/or drug development to support strategic decision making

• Proficiency with systems modeling approaches such as differential equations, nonlinear mixed effects modeling, logic, stochastic, agent-based, or other advanced mechanistic modeling approaches is essential

• Hands-on experience with relevant software or programming languages (e.g. R, Simbiology, MA