Senior Scientist: Data Analytics and Pharmacometric Modeling

AmgenSouth San Francisco, CA
97d$139,001 - $175,417

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.

Requirements

  • Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable]
  • Or Master’s degree and 3 years of relevant experience
  • Or Bachelor’s degree and 5 years of relevant experience

Nice To Haves

  • PhD in Statistical and Data sciences, Computer Science, Pharmaceutical Sciences, Engineering, or related fields with equivalent professional degrees (e.g. MD, PharmD)
  • 3+ years of experience in the life sciences, Biotechnology/Pharmaceutical Industry, consulting or post-doctoral training
  • Demonstrated experience with scripting and implementing data analytics algorithms and models.
  • Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc) is a plus
  • Knowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets is preferred
  • Experience in PK/PD modeling and population-based analyses/simulations with established track-record of model-based drug development in multiple therapeutic areas will be an advantage
  • Excellent interpersonal, technical, and communication skills to lead cross-functional teams
  • Previous record of scientific contributions through peer-reviewed articles and external presentations

Responsibilities

  • Designs modeling and simulation and analytics components of clinical drug development plans and provides expertise to project teams including plan, design, implementation and oversight of M&S plans for multiple programs in Amgen portfolio.
  • Responsible for planning the analyses to integrate knowledge of pharmacokinetics, pharmacodynamics, patient characteristics and disease states to optimize doses, dosage regimens and study designs.
  • Contributes to the analysis of in-vitro and pre-clinical PK/PD data for selection of first in humans (FIH) dose levels and to IND submissions and documentation of appropriate reports.
  • Make recommendations for clinical doses and dosing algorithms (including drug interaction advice, food effects, special group dosing etc.) to the clinical and Development teams and in regulatory documentation.
  • Influences external environment through methods such as publication and presentations.
  • Responsible for communicating with partners (e.g. clinical pharmacologists, clinical assay group, statistics) to ensure appropriate support for programs and studies.
  • Provide leadership, guidance and advice in own field, and develop innovative and creative output based on interpretation and analysis.

Benefits

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models, including remote and hybrid work arrangements, where possible
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