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 one of the World’s Best Workplaces and a Best Workplace for Diversity by Fortune Magazine. Learn more about our award-winning organization by visiting stryker.com
This role will support the software team with machine learning solutions for an intra-operative complication prediction and remediation product.
It will be primarily design/testing (70%), and technical writing/meetings/process design (30%).
This 8-month co-op term is preferably aimed at applicants in their 3rd or 4th year of a Software or Computer Engineering, or Data Analysis program. It would be advantageous to have completed a previous co-op term.
This position will require a combination of in-office (Burnaby) and at-home work.
This position provides an opportunity to learn about the regulatory requirements of AI/ML software as a medical device. Provides opportunity to design using modern machine learning systems, to work with developing data collection protocols. commercial data systems, use of standards in medical device development, and the importance of good machine learning practice.
The primary responsibility will be assisting with the design of various aspects of a intra-operative complication prediction and remediation system.
Collation and review of surgical video in preparation for machine learning.
Progress updates to be provided in design reviews as required
Design, experimentation and testing of solutions to the machine learning problem involved above.
Design of process and documentation associated with good machine learning practice.
While working with a team of engineers and under the supervision of a senior engineer, the co-op will be expected to engage on some of the following types of activities:
Quality Management System DHF/DMR development on new and existing products, including documentation, meetings, and liaising across cross-functional teams.
Participate in conceptual design and engineering activities on new prototyped and products.
Design of test setups and testing conditions to investigate options for improving software performance.
May work with vendor engineers to design systems for both data collection and product deployment.
Understand and follow proper procedures and best practices; work with senior engineers to improve them.
Actively contribute to and respect team decisions; strive for and abide by consensus; operate within Company core values.
Contribute to project planning and commit to deliverable goals. Proactively report progress to project management and R&D management when required.
Take direction as needed from senior engineers and R&D managers; complete most tasks with minimal guidance; use resources responsibly and effectively.
Proactively seek out senior technical leaders and managers as necessary.
Sedentary work: Exerting up to 10 kilograms of force occasionally and/or a negligible amount of force frequently to lift, carry, etc. generally involves sitting most of the time.
Must be able to communicate with groups of people.
Must be able to review printed materials.
Ability to use common office equipment.
Self-managed, self-motivated, with excellent hands-on problem-solving skills.
Must be able to generate and explain design objectives.
Must be able to complete detailed documentation accurately. Astute attention to detail.
Must demonstrate creative thinking and paper-based problem-solving ability.
Must be able to review and troubleshoot designs and provide constructive feedback. Listens to others within the team environment to understand their thinking.
Self-managed and self-motivated critical given nature of position (largely working from home without constant oversight)
Hands-on problem-solving skills
Fluent with MS Office applications (Word, Excel, etc.).
Experience in Python programming and a machine learning (preferable deep learning) toolkit (Tensorflow, PyTorch, etc.)
Excellent written and verbal communication skills.
Proven ability to write procedures and present complex problems and solutions.
Enrolled in an engineering program - preferably 3rd or 4th year of an Engineering program (Computer engineering, software engineering, Information Engineering, or similar)
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