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Machine Learning Biomedical Engineer Jobs in Ohio

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Columbus, OH · On-site +1

$100K - $138K/yr

We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

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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 cities in Ohio are hiring for Machine Learning Biomedical Engineer jobs? Cities in Ohio with the most Machine Learning Biomedical Engineer job openings:

$70K - $73K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Must Have Technical/Functional Skills
• Hands-on laboratory experience in a research or product development setting (academic research counts)
• Proficiency in Cad tools for 3D modeling and prototyping
• Working knowledge of MATLAB, Arduino, and LabVIEW for data acquisition and control
• Experience with FMEA, Work Breakdown Structure, and Gantt-based planning
• Familiarity with lab test equipment (oscilloscope, SEM, spectrophotometry)
• Fabrication skills: 3D printing, soldering, basic machine shop tools
• Strong data analysis
• Proficient in MS Office (Word, Excel, Outlook)
• Leadership and coordination experience of technical projects
• Exposure to medical device design controls or DHF workflows
• Coursework in biocompatible materials, biomedical sensors, or electromechanical prototypes
• Python scripting for test automation•
Roles & Responsibilities
• Support Design Verification (DV) and V&V activities for medical device programs
• Read and interpret protocols, procedures, and engineering specifications
• Set up, execute, and monitor bench-level verification tests
• Operate and troubleshoot test stands, data acquisition systems, and lab equipment
• Build and validate prototype fixtures using SolidWorks and 3D-printed parts
• Collect, record, and analyze test data; drive anomalies to root cause
• Author test reports, protocols, and summary memos with full traceability
• Support risk-management activities including hazard analysis and FMEA updates
• Partner with R&D engineers and V&V leads onsite and offshore
• Maintain lab notebooks and documentation per ISO 13485 / 21 CFR 820
• Multi-task across concurrent workstreams with shifting priorities
• Manage and coordinate project activities maintaining clear lines of communication
• Other duties as assigned•
Salary Range: $70,000- $73,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Train ing Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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