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Healthcare Machine Learning Jobs in Ohio (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ...

Varsity Tutors

Machine Learning Tutor

Cleveland, OH · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ...

Varsity Tutors

Machine Learning Tutor

Columbus, OH · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ...

J.P. Morgan

WFP Machine Learning Scientist

Columbus, OH · On-site +1

These benefits include comprehensive health care coverage, on-site health and wellness centers, a ... machine learning. We have a strong partnership with Technology, which provides cutting edge data ...

Pwc

Payer Healthcare Data Scientist, Manager

Toledo, OH

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

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All JobsHealthcare Machine Learning JobsHealthcare Machine Learning Jobs in Ohio

Healthcare Machine Learning information

See Ohio salary details

$10.5K

$93.2K

$152.6K

How much do healthcare machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for healthcare machine learning in Ohio is $93,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $20,900.00 and $152,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Healthcare Machine Learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What is a Healthcare Machine Learning job?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in the Healthcare Machine Learning position, and why are they important?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are popular job titles related to Healthcare Machine Learning jobs in Ohio? For Healthcare Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Healthcare Machine Learning jobs in Ohio look for? The top searched job categories for Healthcare Machine Learning jobs in Ohio are:
Healthcare Machine Learning jobs near you
Infographic showing various Healthcare Machine Learning job openings in Ohio as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $93,168 per year, or $44.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Radiance Technologies

Beavercreek, OH

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest.

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Required Experience:

  • A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)

  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering

Required Skills & Qualifications:

  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field

  • Strong programming skills in at least one of the following languages Python, Matlab, C++

  • Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras

  • Active Secret Clearance with ability to obtain and maintain a TS/SCI

Desired Skills:

  • ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience

  • PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired

  • A mathematical background (Probability and Statistics)

  • An experienced grasp of version control using Git for nonlinear workflows

  • Thorough understanding of working in research, development and production environments

  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus

  • R&D on remotely sensed data to include modeling and development of algorithms.

  • Ability to work independently or in a team environment

  • Strong technical writing and oral communication skills

  • Active Top Secret/SCI clearance

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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