AI/ML Engineer - SaMD System Engineering & Design Quality - CDH - Remote

AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency.

As an AI/ML Engineer, you may work on the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. You will develop, integrate, and standardize software components and create, maintain, and follow quality system procedures. You will work on the engineering of systems that are pivotal to developing and deploying these solutions, which encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. 

With the support of senior engineers this engineering role focusing on digital health technologies and software as medical devices is responsible for adhering to design control requirements, which involves defining user needs, translating these into design requirements, developing a comprehensive risk management file with appropriate mitigations, and establishing robust test methodologies to ensure safety and efficacy.

•   Working on component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations.
•   Collaborating with a multidisciplinary team, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions.
•   Interpreting / analyzing data to inform strategic decisions and communicate complex findings in easily understandable terms to bridge the gap between AI technologies and clinical applications.
•   Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to design, develop and deploy end-to-end AI solutions for healthcare applications.
•   Participating in the engineering of systems crucial for developing and deploying AI solutions.
•   Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.
•   Contributing to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms.
•   Providing training and education to healthcare staff on the use of AI tools and technologies.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

•   A master’s degree in engineering, computer science, mathematics, health science, or a related field and 1 year experience, or a bachelor’s degree with 3 years of experience, or 7 years of experience with an HS Diploma/GED may be considered. 
•   Experience applying AI and machine learning in production environments, showcasing an understanding of healthcare technology.
•   Skill in cloud infrastructure environment and software development tools.
•   Experience working with large, complex, and heterogeneous data sets, preferably in healthcare. 
•   Skill in AI/ML techniques and frameworks.
•   History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
•   Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
•   Strong interpersonal, communication, and time management skills.

 

Preferred Qualifications:

•   A Ph.D. in engineering, computer science, health science, or a related analytical/quantitative field is preferred. 
•   Expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc.
•   Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
•   Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.
•   Expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice.
•   Ability to articulate complex technical concepts to diverse audiences, facilitating clear understanding and engagement from technical and non-technical stakeholders.
•   Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends.
•   Experience with healthcare industry informatics standards, best practices, and common data models.

This position will accept applications until 5/11/2024.  This deadline may be extended if the necessary candidate pool is not met by this date.

Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.