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Machine Learning Biomedical Engineer Jobs in Orem, UT

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Data Scientist

Lehi, UT

$120K - $145K/yr

Collaborate with data science peers, engineering, product, and operations teams to design, test, and deploy machine learning models that deliver operational impact * Partner with engineering teams to ...

... machine learning and analytical systems applied to design information and user behavior. • Works closely with Application Engineering teams to gather and process data, as well as in surfacing ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

POSITION SUMMARY The DSP/Firmware Engineer role at AtlasIED involves the development of embedded ... Basic knowledge of core machine learning concepts * Experience with real-time audio processing and ...

They are seeking a Senior Software Engineer - Full Stack to contribute to their Aware platform by ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Partner with engineering, product, and operational stakeholders to design, test, and deploy machine learning and analytical solutions that leverage system data and user behavior * Collaborate with ...

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key competencies at Arturo: * Willingness to learn - You have an insatiable desire to continue growing ...

Data Engineer

Draper, UT

$100K - $114K/yr

... and machine learning * Identify and evaluate external data sources, and develop strategies to ... Programming experience in languages such as Python, Scala, Java, or similar (Python preferred)

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques * Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques * Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

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Machine Learning Biomedical Engineer information

See Orem, UT salary details

$27.4K

$111.9K

$168.2K

How much do machine learning biomedical engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for machine learning biomedical engineer in Orem, UT is $111,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $134,800.00 per year, depending on experience, location, and employer.

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 Orem, UT? For Machine Learning Biomedical Engineer jobs in Orem, UT, the most frequently searched job titles are:
What cities near Orem, UT are hiring for Machine Learning Biomedical Engineer jobs? Cities near Orem, UT with the most Machine Learning Biomedical Engineer job openings:

Full-time

Medical, Retirement, PTO

Posted 15 days ago


Job description

ABOUT THIS POSITION

We are looking for an experienced Data Scientist. The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of predictive modeling and data driven strategies across Waystar. applying machine learning, predictive modeling, and analytic components to maximize operational outcomes for healthcare providers. The ideal candidate for this position will have exposure to the healthcare revenue cycle, can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.

WHAT YOU'LL DO

  • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.

  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically based features in core products

  • Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning

  • Translates real-world Healthcare problems to mathematical frameworks Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback

  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role

  • Understands, organizes, and communicates succinctly. Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods

  • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing

  • Demonstrated competency in R/Python predictive modeling

  • Demonstrated competency in RDBMS (e.g. SQL Server)

WHAT YOU'LL NEED

  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Presentation abilities and the ability to communicate with all levels of the Business.

  • Comfortable working in ambiguous areas where learning and adaptability are key skills.

  • Competent communication and interpersonal skills

  • Proficient in Microsoft Office applications

  • Bachelor's degree in the fields of Computer or Data Science, Statistics, or Mathematics is required. Additional experience and/or education in healthcare, business operations or other areas is preferred.

  • An aptitude for medical informatics is preferred

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.