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Machine Learning Biomedical Engineer Jobs in Ohio

Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines. * 2+ years of experience leading AI ...

Technical training and education Position Overview EMSAR is seeking a Biomedical Equipment Engineer ... The ideal candidate enjoys learning new technologies and modalities and understands that successful ...

Technical training and education Position Overview EMSAR is seeking a Biomedical Equipment Engineer ... The ideal candidate enjoys learning new technologies and modalities and understands that successful ...

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Machine Learning Biomedical Engineer information

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
What are popular job titles related to Machine Learning Biomedical Engineer jobs in Ohio? For Machine Learning Biomedical Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Ohio look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Ohio are:
What cities in Ohio are hiring for Machine Learning Biomedical Engineer jobs? Cities in Ohio with the most Machine Learning Biomedical Engineer job openings:
Post Doc Fellow, Department of Biomedical Engineering

Post Doc Fellow, Department of Biomedical Engineering

University of Cincinnati

Cincinnati, OH • On-site

$47K - $63K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


University Of Cincinnati rating

7.4

Company rating: 7.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

294th of 546 rated colleges and universities


Job description

Post Doc Fellow, Department of Biomedical Engineering
Posting Start Date: 5/22/26
Work Arrangement: Onsite
Current UC employees must apply internally via SuccessFactors
Next Lives at the University of Cincinnati
Founded in 1819, the University of Cincinnati ranks among the nation's best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a physical setting The New York Times has called "the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more at uc.edu.
UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC's success.
Job Overview
The University of Cincinnati, College of Engineering and Applied Science invites applications for a postdoctoral fellow with expertise in biomedical engineering, engineering education, or biomedical engineering education with demonstrated experience in conducting research in engineering education with a focus on biomedical engineering, including teaching and learning in biomedical engineering contexts, curriculum development, student learning, or engineering workforce preparation.
The incumbent will conduct research and/or analyze research data and ensure that all research needs are appropriately met following the policies and procedures of the University of Cincinnati.
The position is for two (2) years with the possibility for extension based on qualifications, and performance on the project(s). Remote work arrangements may be available and/or subject to change in accordance with university policies.
Essential Functions
  • Conduct research in engineering education within the pre-determined research scope and methodology set by the Principal Investigator.
  • Gather and analyze data and develop new ideas that promote current research.
  • Prepare data summaries, reports, manuscripts and presentations of research results.
  • Participate/assist in manuscript writing for publication in scientific journals and/or presentation; may assist in grant writing.
  • Keep informed of developments in field to maintain and enhance professional expertise.
  • May teach research approaches to others, train, and mentor junior research staff, including undergraduate research assistants.
  • Engage in appropriate training and professional development opportunities.
  • Play an active role in seeking career and research advice, both from the faculty supervisor and from other faculty members as well.
  • Perform related duties based on departmental need. This job description can be changed at any time.

Minimum Requirements
The position requires a Ph.D. (prior to effective date of appointment) in biomedical engineering, engineering education, or biomedical engineering education with demonstrated experience in biomedical engineering education contexts.
Required Experience
The ideal candidate will have in-depth knowledge of curriculum development and workshop facilitation in higher education spaces, as well as experience in asset-based and community-based research approaches. The candidates will also have demonstrated experience in quantitative and qualitative research.
Physical Requirements/Work Environment
  • Office environment/no specific unusual physical or environmental demands.

Application Process Information
Interested candidates should upload a detailed CV demonstrating education/training, qualifications and list of publications, in addition to a research statement/research plan (2 pages maximum).
Compensation and Benefits
UC offers an exceptional benefits package designed to support your well-being, financial security, and work-life balance. (UC Benefits) Eligibility may vary by position and FTE status. Highlights include:
Comprehensive Tuition Remission
UC provides tuition remission for you and your eligible dependents, covering tuition costs for nearly all undergraduate and graduate programs offered by the university.
Robust Retirement Plans
As a UC employee, you won't contribute to Social Security (except Medicare). Instead, you'll choose between state pension plans (OPERS, STRS) or an Alternative Retirement Plan (ARP), with UC contributing 14-18% of your salary based on position.
Real Work-Life Balance
UC prioritizes work-life balance with a generous time-off policy, including:
Vacation and sick time
11 paid holidays and additional end-of-year paid time off (Winter Season Days)
6 weeks of paid parental leave for new parents
Additional Benefits Include:
  • Competitive salary based on experience
  • Comprehensive health coverage (medical, dental, vision, prescription)
  • Flexible spending accounts & wellness programs
  • Professional development & mentorship opportunities

To learn more about why UC is a great place to work, please visit our Careers Page.
UC is an E-Verify employer. If hired into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I-9 employment verification process. Click here for a list of acceptable documents.
Important: To apply you must create a profile and submit a complete job application through the UC applicant portal. We are unable to consider "easy apply" applications submitted via other websites. For questions about the UC recruiting process or to request accommodations with the application, please contact UC HR at jobs@uc.edu.
Equal Opportunity Employer. Building a workplace where all qualified applicants will receive consideration for employment, including Individuals with Disabilities and Protected Veterans.
REQ: 102657

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