Data Scientist, Senior Manager @ Amgen

Job Information

Job Description:

  • Conduct research to the highest standards of the profession
  • Researching and selecting appropriate data sources, acquisition and cleaning
  • Using quantitative techniques to understand and discover useful information from biological data and lead development of data visualization efforts using visualization tools such as R, tableau or Spotfire
  • Developing predictive analytics models and implementing data analytic pipelines, using healthcare data
  • Author and present study protocols and analysis plans
  • Author study reports and research papers
  • Participate in submission planning and discussions with regulatory agencies
  • Set annual product-specific and personal goals and provide input into observational research department meetings
  • Stay abreast of the latest developments in the fields of data science, epidemiology and drug development and contribute to the field.
  • Promote data science awareness and understanding and use of data science and Machine learning methods
  • Communicate significant scientific information to a variety of audiences

Basic Qualifications:

Doctorate degree and 2 years of data sciences and/or scientific/observational research experience

OR

Master’s degree and 6 years of data sciences and/or scientific/observational research experience

OR

Bachelor’s degree and 8 years of data sciences and/or scientific/observational research experience

OR

Associate’s degree and 10 years of data sciences and/or scientific/observational research experience

OR

High school diploma / GED and 12 years of data sciences and/or scientific/observational research experience

Preferred Qualifications:

  • Doctorate or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Epidemiology or other subject with high data science content or Medical degree with observational research/data science experience
  • 6 years’ experience in data sciences and/or predictive analytics
  • 3 years’ experience with Medical or Doctoral degree
  • Record of publications in data science or clinical journals
  • Advanced knowledge in programming languages (Python or R) and ability to implement data analytic pipeline
  • Extensive knowledge in machine learning models, frameworks (Spark) and data structures
  • Familiar with inference and experimental design, principles of decision making, and Monte Carlo simulation methods
  • In-depth understanding of applying supervised and unsupervised models to identify complex relationships in the data
  • Knowledge of innovative learning algorithms/data science methods
  • Experience working with real world data
  • Experience with AWS cloud services
  • Experience working in multi-disciplinary teams

Benefits:
Experience Level: Senior
Work From: Remote from Country United States of America

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