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Artificial Intelligence Researcher
2 months ago
Mayo Foundation for Medical Education and Research is recognized for excellence in various specialties, as highlighted by U.S. News & World Report. Our commitment to prioritizing patient needs extends to our employees, where we offer competitive salaries and comprehensive benefits to support you and your family, both now and in the future. With ample opportunities for professional development and advancement, you can cultivate a rewarding career with us. We foster an environment that encourages innovation, champions diversity, equity, and inclusion, and equips you with the necessary resources to thrive.
Key Responsibilities
We are in search of a driven postdoctoral researcher specializing in disease detection through gait and motion analysis, balance assessment, and eye tracking data utilizing machine learning techniques. This role is primarily focused on diagnosing neurological conditions through our expanding repository of patient-generated data, particularly quantitative measures of gait and balance. Responsibilities will include data preprocessing, training machine learning algorithms, conducting clinical validation studies, and disseminating findings through publications and code sharing. Prior experience in gait and motion analysis or time series analysis is highly desirable.
The Neurology Artificial Intelligence Program (NAIP) is a collaborative team of clinician-investigators, data scientists, and software engineers dedicated to developing AI tools for clinical applications and patient-centered research. Situated within the clinical practice at Mayo Foundation, this position offers a unique opportunity to leverage expertise in gait and motion analysis and eye tracking to create impactful digital solutions for healthcare. This role is ideal for individuals passionate about enhancing healthcare through technological advancements, particularly in machine learning. Candidates with backgrounds in gait and motion analysis, machine learning, or signal processing are strongly encouraged to consider this opportunity.
Essential Qualifications:
- Ph.D. in Electrical Engineering, Physics, Machine Learning, or a related discipline.
- Proficient programming skills (e.g., Python).
- Demonstrated history of publications and presentations at conferences.
Preferred Experience:
- Familiarity with Google Cloud Platform.
- Expertise in statistical analysis.
- Experience in recording, preprocessing, and manipulating gait/motion capture/accelerometer data.
- Application of machine learning techniques to gait/motion capture/accelerometer data.
- Collaborative development experience on GitHub.
The selected candidate will be appointed at either the Research Fellow or Senior Research Fellow level, depending on their experience. Positions at Mayo Foundation are temporary roles designed to provide training and education in research. Qualified candidates will exhibit potential for research as evidenced by their training and peer-reviewed publications, and should aim to become competitive for national research grants. Proof of English proficiency is required for those sponsored by Mayo Foundation.
Application Requirements:
- Current curriculum vitae with bibliography.
- Proof of doctoral degree (copy of diploma or final transcript with English translation, if applicable) or a letter from your university's Registrar office confirming completion of all doctoral program requirements.
- Three letters of recommendation will be required prior to an interview.
Exempt
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Weekdays 8:00am-5:00pm
Weekend Schedule
No weekends required.
International Assignment
No
Site Description
Our organization has expanded beyond its original location, with employees situated at various campuses. Each location offers a unique environment where employees can thrive both professionally and personally. Learn more about what each Mayo Foundation campus has to offer and where you might find your best fit.
Affirmative Action and Equal Opportunity Employer
Mayo Foundation is committed to fostering an inclusive environment that values diversity among its employees and does not discriminate against any employee or candidate. We strongly encourage applications from women, minorities, veterans, individuals from the LGBTQ community, and persons with disabilities. Reasonable accommodations for accessing job openings or applying for a position are available.
Recruiter
Janell Mader
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