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Machine Learning Biomedical Engineer Jobs in Iowa

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

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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 Iowa?

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

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

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

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

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

Software Engineer - Computer Vision & Machine Learning

RFA Engineering

Urbandale, IA โ€ข On-site

$70K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Job description

RFA Engineering (www.rfamec.com) supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices.
This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.
Software Engineer - Computer Vision & Machine Learning
RFA Engineering is seeking a Software Engineer in the field of Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features into the next generation of agricultural and off-highway equipment.
Responsibilities
  • Develop machine learning and computer vision algorithms for automation and autonomy product development.
  • Design, implement, and optimize machine learning algorithms and computer vision solutions for production intent hardware. Work with Stereo, monocular cameras, Lidar, radar, edge compute devices.
  • Data collection and processing for CVML algorithms development. Utilize data-driven insights to inform your development process and improve models/algorithms.
  • Quickly learn new technologies, tools, and methodologies in the fields of computer vision and machine learning. Stay abreast of the latest research and trends, applying this knowledge to your work and sharing insights with the team.
  • Primary needs relating to theoretical geometric computer vision - involving concepts like singletons, SLAM (localization, mapping), triangulation, projective geometry, feature detection, depth estimation, camera models/calibration/rectification
  • Secondary needs relating to Machine Learning algorithm development. All aspects of model architecture development including: problem definition, data collection/prep, model selection, architecture design, training , evaluation, optimization, deployment, monitoring/maintenance.

Technical Qualifications:
  • Experience with data visualization, data management, data querying (eg SQL, Tableau, PowerBI, matplotlib)
  • Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow, experience with linear algebra, optimization etc.)
  • Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision, AI, robotics and be able to implement.
  • Competent in generating, interpreting, and communicating statistical data well and measuring the right statistics to answer the right questions
  • Comfortability reading documentation to read and write good code
  • Proficiency in C++ and/or Python.
  • Experience with Databricks, AWS, cloud
  • Technical expertise matters less in comparison to intelligence, work ethic, and willingness to learn.

Personal Qualification
  • Exceptional work ethic and willingness to learn.
  • Trailblazing spirit: Eager to solve problems in the autonomous robotics and AI space that have never been solved before.
  • Passionate about artificial intelligence, machine learning, robotics, autonomy, and automation.
  • Eager to OWN work fully and to make decisions with autonomy to deliver.

Pay Range: $70,000-$140,000 - Commensurate with experience
Visa Sponsorship is NOT available for this position.
About RFA Engineering
RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.
Competitive Benefits
  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance

Equal Opportunity and Veteran Friendly
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.