Senior AI/Data Science Engineer

Medtronic•Lafayette, CO

About The Position

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life In this role as a Senior AI/Data Science Engineer, you will be a key contributor to the success of new product development initiatives in Acute Care and Monitoring. Responsibilities may include the following, and other duties may be assigned. You will collaborate with engineering, clinical, and product development teams to identify opportunities for data-driven solutions and help shape the future of our products through algorithm development. Your responsibilities may include designing and developing algorithms, supporting data strategy and analysis, and partnering with cross-functional teams to integrate algorithms into innovative product features. You will leverage your engineering expertise to ensure robust deployment of algorithms, troubleshoot data-related challenges, and optimize the performance of solutions. You will support both product development and lifecycle maintenance by building, analyzing, and evaluating data to identify opportunities and generate actionable insight and solutions. This is a highly collaborative role, requiring excellent communication and teamwork skills. You will work cross-functionally with hardware and firmware engineers, systems engineers, clinical data engineers, and other stakeholders to drive impactful product innovations. Responsibilities may include the following and other duties may be assigned. New Product Design Activities Develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms. Contribute to test plans, perform testing and debugging and investigations for both clinical and bench data. Collaborate with Firmware Engineers to translate algorithms from the development environment into firmware code. Develop and apply deep learning techniques to solve relevant, complex problems for our patients and customers. Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Product / Systems Improvement Activities Evaluate existing algorithms to improve product/system performance, quality, data management and accuracy. Contribute to field investigations through data aggregation and analysis, modeling, and root cause analysis. Cross-functional Collaboration and Documentation Collaborate closely with internal cross-functional teams to understand requirements and translate them into robust solutions. Communicate results and technical concepts through effective visualizations and clear reporting to both technical and non-technical audiences. Document algorithm designs, solutions, recommendations, and decisions to both technical and non-technical stakeholders to comply with quality and regulatory requirements and best practices.

Requirements

Bachelor’s degree in electrical, computer/software, biomedical or similar Engineering with 4+ years of experience OR Master’s Degree with a minimum of 2 years of experience, OR PhD with 0 years of experience.
Experience designing and developing algorithms, simulations, and models
2+ years experience using programming languages including Python and Matlab

Nice To Haves

PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering/Science and/or Data Science.
Experience with large scale computing frameworks, data analysis systems and modeling environments.
Proven track record of delivering on complex projects.
Excellent problem-solving, analytical, and critical thinking abilities.
Exceptional communication and interpersonal skills.
Medical device development experience, design control, FDA and MDR regulations.
Experience in Using machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
Knowledge of regulatory requirements (FDA, IEC, ISO) and quality management systems.
Demonstrate skills in “systems thinking” – ability to consider problems, implementations, and impacts at a higher system level
Experience in applying deep learning techniques to translate data-driven insights into actionable solutions
Experience in design for six sigma or similar engineering practices
Experience with light based sensing

Responsibilities

Develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
Contribute to test plans, perform testing and debugging and investigations for both clinical and bench data.
Collaborate with Firmware Engineers to translate algorithms from the development environment into firmware code.
Develop and apply deep learning techniques to solve relevant, complex problems for our patients and customers.
Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
Evaluate existing algorithms to improve product/system performance, quality, data management and accuracy.
Contribute to field investigations through data aggregation and analysis, modeling, and root cause analysis.
Collaborate closely with internal cross-functional teams to understand requirements and translate them into robust solutions.
Communicate results and technical concepts through effective visualizations and clear reporting to both technical and non-technical audiences.
Document algorithm designs, solutions, recommendations, and decisions to both technical and non-technical stakeholders to comply with quality and regulatory requirements and best practices.

Benefits

Medtronic offers a competitive Salary and flexible Benefits Package
We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
Health, Dental and vision insurance
Health Savings Account
Healthcare Flexible Spending Account
Life insurance
Long-term disability leave
Dependent daycare spending account
Tuition assistance/reimbursement
Simple Steps (global well-being program)
Incentive plans
401(k) plan plus employer contribution and match
Short-term disability
Paid time off
Paid holidays
Employee Stock Purchase Plan
Employee Assistance Program
Non-qualified Retirement Plan Supplement (subject to IRS earning minimums)
Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).