Stryker is one of the world’s leading medical technology companies and, together with our customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes.
We are proud to be named the #5 World’s Best Workplaces and a Best Workplace for Diversity by Fortune Magazine. Learn more about our award-winning organization by visiting stryker.com
Why engineering at Stryker?
At Stryker we are dedicated to improving lives, with a passion for researching and developing new medical device products. As an engineer at Stryker, you will be proud of the work that you will be doing, using cutting-edge technologies to make healthcare better. Here, you will work in a supportive culture with other incredibly talented and intelligent people, creating industry-leading medical technology products. You will also have growth opportunities as we have a culture that supports your personal and professional development.
Are you looking for an opportunity to apply your talent in an exciting domain that is changing the future ? To join a company ranked #8 on Fortune Magazine's 100 Best Companies to Work For?
Do you want to work with "amazingly talented high achievers" who are "willing to go above and beyond with a smile on their face" to make the products that "change patients' lives"? To build a rewarding career with an innovative company? Check out our culture and team here: https://bit.ly/2MsHWN0
As a Data Scientist you will be responsible for discovering information hidden in vast amounts of clinical data to derive value for medical products and services in order to improve decision making and build predictive algorithms to enhance outcomes and economic value.
You will work with various stakeholders throughout the organization including clinical research, advanced technology, product development and marketing as well as various customers to understand their needs and support them in applying various kinds of advanced analytics methods, such as predictive modeling or machine learning, in order to extract and visualize relevant information for solving problems in medical technologies.
Who we need:
Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.
Collaborative partners. People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices.
Motivated product launchers. Engineers who bring strategic direction and drive for execution to ensure products are developed and launched with precision.
What you will do:
As a Data Scientist you will be responsible for discovering information hidden in vast amounts of clinical data to derive value for medical products and services.
You will work with medical image data, device data and clinical outcome data and perform a variety of data mining and data analysis, using multiple tools, building implementation models as well as creating algorithms and simulations.
Apply numerous kinds of advanced analytics methods, such as predictive modeling or machine learning, in order to extract and visualize relevant information.
Work with various stakeholders throughout the organization including clinical research, advanced technology, product development and marketing as well as various customers to understand their needs.
Be part of a global evolving research and development team at the forefront of robotics data analytics to create the future of evidence-based technologies.
What you need
3rd level degree in a technical or scientific field preferred
3-5 years of professional experience as a Data Scientist or Machine Learning practitioner preferably from a Manufacturing or Lifesciences Sector
Proven record of end-to-end data science projects: from problem and requirements definition to model/algorithm validation and deployment.
Ability to navigate the scientific corpus to identify and synthesize the necessary knowledge to support the data analysis and problem definition
Knowledge of a variety of statistical, machine learning and deep learning techniques to solve regression and classification problems and their most appropriate application based on data type and contextual information
Experience with common data science toolkits and visualization tools
Coding knowledge and experience with common programming languages for data mining and modelling (e.g., R, Python) and the corresponding libraries and frameworks to implement state-of-the-art data-driven solutions (e.g. Keras, Tensorflow, TidyModels, Scikit-learn, etc.)
Experience of working with different data types (e.g., tabular data, images, etc.)
Understanding of regulatory and privacy frameworks applied to medical data
Effective communication skills, and able to present complex analytics to stakeholders and customers.
Stryker is one of the world's leading medical technology companies and, together with our customers, we are driven to make healthcare better. The Company offers a diverse array of innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. Stryker is active in over 100 countries around the world.
Together with our customers, we are driven to make healthcare better.
At Stryker, quality is first in everything we do. We are driven to make healthcare better for our customers by
providing innovative products and services that meet regulatory requirements through our effective quality system.
The Company was founded in 1941 by Dr. Homer Stryker and incorporated in 1946 as the Orthopedic Frame Company. In 1964, the Company’s name was changed to Stryker Corporation.
• $13.6 billion in annual sales in 2018; annual revenue has grown for 39 straight years
• 17.1% CAGR (compound annual growth rate) in sales over 39 years
• ~36,000 employees globally in 2018
• 43 manufacturing and research & development locat...ions worldwide
• Included in the Standard & Poor’s 500 Index
• Ranked # 233 on Fortune Magazine’s “FORTUNE 500” list for 2019
• Ranked # 3 on Fortune Magazine’s “World’s Most Admired Companies” list for the “Medical Equipment” industry for 2019
• Ranked # 11 on Fortune Magazine’s “100 Best Companies to Work For” list (U.S.) for 2019
• Spent $862 million on R&D in 2018
• 7,784 patents owned globally in 2018
• Initial public offering of stock was in 1979
• Listed on the New York Stock Exchange under ticker SYK