Senior AI RAQA Specialist – CDH – Remote
Job Description
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.
Responsibilities
AI Regulatory Affairs and Quality Assurance (RAQA) Specialists at Mayo Clinic ensure compliance with applicable regulations for the design, development, deployment, and maintenance of AI-enabled digital health technologies (DHTs) intended to meet the needs of the patients. RAQA Specialists will partner with innovators across Mayo Clinic to develop strategies, provide guidance, and demonstrate compliance with regulations and standards. RAQA Specialists may engage with external organization (e.g., FDA), as needed.
As a Senior RAQA Specialist specializing in AI-enabled DHTs at Mayo Clinic, you will be at the forefront of working with teams to innovate AI-driven solutions that enhance patient care and clinic operations. In this pivotal role, you’ll lead the creation of regulatory strategies, frameworks, systems, and/or processes, ensuring our digital health technology products meet the applicable requirements and/or best practices, including demonstration of safety and effectiveness in clinical settings, when applicable.
The day-to-day work involves collaborating with a multidisciplinary team, including clinicians, engineers, and external partners, to develop roadmaps for compliant deployment of DHTs across the Mayo Clinic Enterprise. This work encompasses the entire lifecycle of navigating regulations. You’ll guide the application of regulations, standards, and best practices for pre- and post-deployment stages of AI-enabled DHTs. In partnership with colleagues in the Center for Digital Health, you will ensure compliance with the quality management system regulations (QMSR) and/or establish processes for continue improvement and maintenance of the QMSR.
This role is instrumental in providing consultative services to departments and divisions, offering insights into complex business problems. Your ability to communicate multifaceted strategies to key stakeholders will advance translational and regulatory science across the Mayo Clinic Enterprise.
This RAQA position can fulfilled by an individual with experiences monitoring, interpreting, and applying laws, regulations, and standards for AI-enabled DHTs. This individual should have experience in regulatory affairs with writing medical device status determinations, authoring US FDA submissions, and assessing post-market changes for impact.
This RAQA position can also be fulfilled by an individual with experience establishing, maintaining, and improving a quality management system (QMS) for AI-enabled DHTs. This individual should have experience in quality assurance with writing standard operating procedures and templates for the QMS, conducting internal and external audits, and managing training requirements for applicable staff.
This RAQA position can also be fulfilled by an individual with experience interpreting and applying requirements per the QMSR for AI-enabled DHTs. This individual should have experience in quality engineering subject to 21 CFR 820.30, having conducting activities such as risk management, design controls, and appropriate testing (e.g., verification and validation).
- Lead the integration and standardization of software components to create AI-driven solutions that enhance patient care and clinic operations.
- Collaborate with clinicians, knowledge architects, and external partners to develop sophisticated AI and analytics solutions accessible to non-technical users.
- Oversee the engineering of systems crucial for developing and deploying AI solutions.
- Facilitate consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.
- Provide consultative services to departments and divisions, offering insights into complex business problems through advanced analytics.
- Lead the interpretation of data analysis to inform strategic decisions and communicate complex findings in easily understandable terms to bridge the gap between AI technologies and clinical applications.
This position will accept applications until 6/11/2024. This deadline may be extended if the necessary candidate pool is not met by this date.
Qualifications
- A bachelor’s degree in engineering, computer science, health science, or a related analytical/quantitative field with a minimum of 5 years of experience or master’s degree in a related field with a minimum of 3 years of experience.
- Experience interpreting the FDA’s regulatory policies for digital health technologies, sitting on core teams as an RA/QA representative for new product development, and/or facilitating completion of documentation intended for FDA review (e.g., Q-Submissions, 510(k) submissions, PMAs, etc.)
- Experience reviewing and interpreting 21 CFR 820, applicable standards (e.g., ISO 13485, 14971, 62304, 62366), and evolving best practices (e.g., FDA’s Good Machine Learning Principles)
- Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes.
- Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
- Demonstrated application of problem-solving methodologies, continuous improvement methods, and analytical tools (e.g., machine learning, statistical packages).
- Demonstrated initiative in administration, education, software development, and technical reporting. A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
Preferred Qualifications
- A master’s degree in a related field (engineering, computer science, health science, or a related analytical/quantitative field).
- Advanced AI, machine learning, and data analytics knowledge applicable to digital health technologies.
- Exceptionally skilled with monitoring and interpreting new and changing new and changing regulations and standards.
- Familiarity with regulatory standards and compliance frameworks, with the ability to adapt these to different project environments effectively.
- Demonstrated risk assessment and management capability, establishing robust testing strategies for technology solutions.
- Proven success in leading multidisciplinary teams and fostering collaboration to drive project success and innovation.
- Strong ability to articulate complex technical concepts to diverse audiences, facilitating clear understanding and engagement from technical and non-technical stakeholders.
Exemption Status
Exempt
Compensation Detail
$122,387.20 – $177,444.80/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday-Friday, standard business hours
Weekend Schedule
NA
International Assignment
No
Site Description
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
Recruiter
Laura Percival
EWJP2
