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Machine Learning Biomedical Engineer Jobs in Tennessee

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research, evaluate, and select appropriate machine Learning approaches and architectures based on the problem ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We ...

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will: Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance ...

Varsity Tutors

Biomedical Engineering Tutor

Knoxville, TN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ...

Varsity Tutors

Biomedical Engineering Tutor

Nashville, TN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ...

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Machine Learning Biomedical Engineer information

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.

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 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.

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 are popular job titles related to Machine Learning Biomedical Engineer jobs in Tennessee?

For Machine Learning Biomedical Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biomedical Engineer jobs in Tennessee look for?

The top searched job categories for Machine Learning Biomedical Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Machine Learning Biomedical Engineer jobs?

Cities in Tennessee with the most Machine Learning Biomedical Engineer job openings:

Machine Learning Biomedical Engineer jobs near you

Mechanical or Biomedical Engineer - Product Design & Development

Franklin, TN • On-site

Enexor
See more jobs at Enexorexternal

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

About Us

We are an early-stage company developing disruptive medical technologies that challenge industry norms and dramatically reduce cost and complexity. Our small, hands-on team designs, builds, and validates next-generation medical devices entirely in-house from concept through FDA submission.

If you are motivated by hard problems, rapid iteration, and real-world impact, this is the kind of place where your work will matter every day.

The Opportunity

We have openings for Mechanical or Biomedical Engineers who are either recent graduates or have up to five years of professional experience. You will help design and develop a new Class II medical device from the ground up and be involved in every part of the process, including CAD modeling, prototyping, system integration, and verification and validation (V&V).

What You Will Do
  • Design and model mechanical subsystems and assemblies using Autodesk Inventor
  • Build and test prototypes for airflow, pressure, vibration, and structural performance
  • Support DFM, BOM creation, and documentation under FDA design control
  • Participate in bench and environmental testing for verification and validation
  • Collaborate with electrical, firmware, and manufacturing teams to integrate systems
  • Contribute to risk analysis, labeling, and regulatory documentation

Requirements

What We Are Looking For
  • B.S. or M.S. in Mechanical or Biomedical Engineering
  • Strong fundamentals in fluid dynamics, pressure systems, and mechanical design
  • Hands-on experience with prototyping or lab testing
  • Curious, adaptable, and motivated to learn in a fast-paced, collaborative environment
Preferred Experience
  • Up to five years of experience in product design or medical device development
  • Familiarity with ISO 13485, IEC 60601, or FDA 510(k) processes
  • Experience in machining, additive manufacturing, or test fixture design

Benefits

What We Offer
  • Competitive salary and equity opportunity
  • Health insurance stipend (QSEHRA) and 401(k)
  • Paid vacation and holidays
  • A front row seat in a fast-growing, mission-driven medtech startup