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Machine Learning Biomedical Engineer Jobs in Tucson, AZ

Python Tutor

Tucson, AZ ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

As a Digital Factory developer, you will be a key contributor to design, development, integration ... AI, machine learning, ISA-95, Pub/Sub. * Experience with data analytics with skills that ...

Software Engineer II with Security Clearance

Tucson, AZ ยท On-site

$90K - $124K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Software Engineer II with Security Clearance

Tucson, AZ ยท On-site

$90K - $124K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Your teams will work across artificial intelligence and machine learning, software, systems engineering, computer vision, image processing, video analytics, and aircraft-level integration. This role ...

MedTech Field Service Engineer

Tucson, AZ ยท On-site

$27 - $32/hr

Travel to customer sites to replace hydraulic assemblies on dialysis machines. * Complete required ... Mid-level BMET, Field Service Engineer, or similar mechanical/biomedical equipment service ...

Implement solutions in machine language, assembly, and high-level languages (C, C++). * Testing ... Continuous Learning & Improvement: * Apply company policies, procedures, and engineering standards ...

Firmware Engineer

Tucson, AZ ยท On-site

$80K - $100K/yr

Implement solutions in machine language, assembly, and high-level languages (C, C++). * Testing ... Continuous Learning & Improvement: * Apply company policies, procedures, and engineering standards ...

Firmware Engineer

Tucson, AZ ยท On-site

$80K - $100K/yr

Implement solutions in machine language, assembly, and high-level languages (C, C++). * Testing ... Continuous Learning & Improvement: * Apply company policies, procedures, and engineering standards ...

Showing results 41-60

Machine Learning Biomedical Engineer information

See Tucson, AZ salary details

$29.8K

$121.7K

$182.9K

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

As of Aug 18, 2026, the average yearly pay for machine learning biomedical engineer in Tucson, AZ is $121,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $146,500.00 per year, depending on experience, location, and employer.

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 Tucson, AZ?

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

What job categories do people searching Machine Learning Biomedical Engineer jobs in Tucson, AZ look for?

The top searched job categories for Machine Learning Biomedical Engineer jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Machine Learning Biomedical Engineer jobs?

Cities near Tucson, AZ with the most Machine Learning Biomedical Engineer job openings:

Infographic showing various Machine Learning Biomedical Engineer job openings in Tucson, AZ as of July 2026, with employment types broken down into 2% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,748 per year, or $58.5 per hour.

OT Sr Digital Factory Engineer III

Raytheon Technologies

Tucson, AZ โ€ข On-site

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Date Posted:
2026-07-31
Country:
United States of America
Location:
US-AZ-TUCSON-801 ~ 1151 E Hermans Rd ~ BLDG 801 (External Site)
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Active and existing security clearance required after day 1
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.
We value a wide range of skills and experience, so don't hold back. Your qualifications could add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you.
Raytheon Industry 4.0 - Smart Digital Factory and Automation (SDF&A) has an immediate career-growth opportunity for an enthusiastic, highly motivated, and innovative Software Systems Engineer team member to join our Team. As a Digital Factory developer, you will be a key contributor to design, development, integration, testing and deployment of advanced IIoT / Industry 4.0 technologies based in Ignition. Additionally, this role will perform root cause corrective action (RCCA) for any hardware and software issues identified in the SDF&A products in the manufacturing factory while supporting data analytics and data visualization efforts. The role will be in close collaboration with digital factory engineering, chief engineers / architects, front end of the business, and SDF&A / factory leadership and will include all aspects of the product development lifecycle - planning, requirements, design, development, test, deployment, and sustainment.
Our Connected Factory Intelligence & Automation (CFI&A) organization delivers advanced IIoT / Industry 4.0 technologies based in Ignition and plays a key role across manufacturing environments.
Raytheon Innovators - Advanced Manufacturing
What You Will Do
  • Execute projects involving Ignition application development.
  • Contribute to IIoT continued growth and deployment by working with sensors, gateways, connectivity solutions, APIs, and data analytic platforms.
  • Provide recommendations and execution on methods to connect manufacturing equipment to IIoT/OT layer network
  • Set communication protocols and network configurations on network devices (EIP, Modbus/TCP, MQTT, etc).
  • Contribute to major team projects as well as work with minimal oversight to solve complex problems supporting SDF&A Engineering Systems.
  • Analyze and correlate large, complex data sets; support digital thread implementation; develop and execute analytics reports and visualization toolsets while ensuring data integrity.
  • Expected to Travel 10% of the time.

What You Will Learn
  • Exposure to Industry 4.0 subject matter experts and Digital Technologies teams, gaining hands-on experience with Ignition, IIoT systems, and modern factory connectivity
  • How to support and execute full product lifecycle activities - requirements, development, testing, deployment, and sustainment - for digital factory systems
  • Skills in analyzing and correlating large manufacturing data sets to improve digital thread continuity and deliver meaningful insights to factory leadership
  • Practical system integration experience that enhances your ability to provide reliable, actionable data, enabling customers to make informed operational decisions
  • Technical leadership fundamentals through mentorship, collaboration with engineering leaders, and exposure to influential individuals across Raytheon

Qualifications You Must Have
  • Typically requires a degree in Science,Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.
  • 5+ years related experience, to include Ignition SCADA development using combination of tools such as: SQL, Python, C#/.NET, HTML5, JSON
  • Experience with scripting and dashboarding
  • Experience with Azure DevOps services framework or similar Agile Project Management tools
  • Experience with Industry 4.0 key concepts - connectivity, data collection, IIoT, systems integration, AI, machine learning, ISA-95, Pub/Sub.
  • Experience with data analytics with skills that demonstrate the ability to prepare, process, analyze, and visualize significant amounts of information from multiple data sources.

Qualifications We Prefer
  • Ignition gold certification or willingness to achieve within first year
  • Experience using industrial communication protocols such as Modbus/TCP, MQTT, EIP, SECS/GEM, etc.
  • Strong communication, project management and collaboration skills; experience working across organization boundaries
  • Experience building APIs and creating web applications
  • Experience with Splunk!, PowerBI, GraphQL, Tableau, SQL Server, SAP, Eyelit, Windows Task Scheduler Automation, SQL Server job agent automation, SQL Server SSIS
  • Experience with big data and data mining
  • Experience in distributed controls, cyber security, IT infrastructure integration or other related fields
  • Experience working in a manufacturing environment and familiarity with MES (Manufacturing Execution Systems)
  • Understanding of automation systems (robots, vision systems, PLCs, etc.) deployment and integration

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • This position is NOT eligilble for RELOCATIION

Learn More & Apply Now
This position is located in Tucson, AZ;
Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:
ONSITE: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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