Amgen Principal Data Sciences (Real World Data) in Berlin, Germany

Amgen is one of the world's leading independent biotechnology companies. For more than 35 years, Amgen has pioneered biotechnology breakthroughs, to bring state-of-the-art medicines from laboratory to the patient. Amgen has not only discovered and developed innovative human therapeutics, but has invested in cutting edge manufacturing capability and support services to deliver these exciting therapies to medical teams around the world.

Amgen is seeking a Principal Data Sciences (Real World Data) at its tech hub at Berlin, Germany.

The incumbent will work within the Center for Observational Research (CfOR), report to a Director, Observational Research. This position will be primarily accountable for the selection of data management, data quality, data visualization and data analysis strategies for digital products. This role is recognized as a scientific contributor and is a first or contributing author for papers in peer reviewed journals or for internal reports that enhance the company's mission.

Travel: International and domestic travel of 10-20% might be essential.

Responsibilities

Conduct research to the highest standards of the profession

Researching and selecting appropriate data sources, acquisition and cleaning

Maintaining, curating and developing data assets for use in digital healthcare devices and products

Using quantitative techniques to understand and discover useful information from biological data and lead development of data visualization efforts

Developing predictive analytics models using biological data

Assessing , developing and executing data privacy compliance programs

Advising on Minimum Viable Product definition and product design

Delivering digital tools that are able to deliver personalized insights to patients and physicians and that enable post-hoc analysis, correlation and new insights to improve patient care

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, observational research and drug development and contribute to the field.

Promote data science awareness and understanding and use of state of the art data science methods

Promote knowledge of Machine Learning and use of state of the art Learning algorithms

Communicate significant scientific information to a variety of audiences

Basic Qualifications

Doctorate degree and 3 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

Preferred Qualifications

Doctorate or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Epidemiology or other subject with high data sciences content or Medical degree with observational research/data sciences experience

6 years' experience in data sciences and/or predictive analytics

Record of publications in data science or clinical journals

3 year' experience with Medical or Doctoral degree

Managerial experience

Experience with the following:Data visualization experience with tools such as Spotfire or Tableau

Programming experience in one or more of the following languages: Python, R, MATLAB

research to support drug development

observational research project planning and management

working in multi-disciplinary teams