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Machine Learning Biomedical Engineer Jobs in Portland, TX

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Corpus Christi, TX · Remote

$18 - $40/hr

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Machine Learning Biomedical Engineer information

See Portland, TX salary details

$25.4K

$104K

$156.3K

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

As of Sep 2, 2026, the average yearly pay for machine learning biomedical engineer in Portland, TX is $104,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $125,200.00 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 cities near Portland, TX are hiring for Machine Learning Biomedical Engineer jobs?

Cities near Portland, TX with the most Machine Learning Biomedical Engineer job openings:

Infographic showing various Machine Learning Biomedical Engineer job openings in Portland, TX as of June 2026, with employment types broken down into 67% Full Time, 30% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $104,021 per year, or $50 per hour.

Postdoctoral Research Associate - Robots and Agents

Texas A&M University - Corpus Christi

Corpus Christi, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

236th of 628 rated colleges and universities


Job description

Job Title

Postdoctoral Research Associate - Robots and Agents

Agency

Texas A&M University - Corpus Christi

Department

College of Engineering - ENGR

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

Job Description

TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students from 47 states and 54 foreign nations. We employ over 1,400 full-time and 2,000 part-time Islanders (including students/GAs). The University attracts highly talented faculty and staff and offers an array of undergraduate and graduate degrees, including doctoral programs. As a member of the Texas A&M University System, TAMU-CC benefits from a range of resources, increased visibility and influence, and opportunities to collaborate in mutually beneficial ways with peers across member institutions and associated agencies.

TAMU-CC's beautiful campus is located on a 240-acre island on Corpus Christi Bay and was ranked #1 College by the Sea by Best College Reviews. Our natural setting is enhanced by its modern, attractive, and state-of-the-art classroom buildings and support facilities.

PURPOSE

We are seeking a highly motivated Postdoctoral Research Associate to join a multidisciplinary research team developing advanced autonomous multi-robot systems for exploration and reconnaissance. The successful candidate will conduct cutting-edge research on coordinated autonomous ground and aerial robotic systems, focusing on multi-agent collaboration, autonomous decision-making, perception, planning, and control in complex and dynamic environments and support mentoring/teaching responsibilities by strengthening the integration of cutting-edge research into the curriculum and providing students with hands-on learning and research opportunities.

The Postdoctoral Research Associate will contribute to the development of algorithms and software that enable teams of robots to perform coordinated maneuvers, self-organize, understand and model their surroundings, and autonomously generate efficient paths and formations while adapting to changing environmental conditions. The position also involves designing and validating digital twins and conducting experiments using physical robotic platforms.

RESPONSIBILITIES

Research and Laboratory Coordination: 85%

  • Conduct fundamental and applied research on autonomous multi-robot systems for exploration and reconnaissance, with an emphasis on coordinated ground and aerial robotic platforms.

  • Develop novel algorithms for multi-agent coordination, autonomous navigation, distributed control, formation control, perception, and decision-making in complex environments.

  • Design and implement data-driven approaches, including machine learning, reinforcement learning, surrogate models, and optimization techniques, to enhance robotic autonomy and mission performance.

  • Develop and validate digital twin environments for simulation, testing, and evaluation of autonomous robotic systems and structures.

  • Integrate and evaluate algorithms on robotic platforms using Robot Operating System (ROS) and sensors such as LiDAR, cameras, and other perception systems.

  • Conduct laboratory and field experiments, analyze experimental data, and validate system performance.

  • Publish research findings in peer-reviewed journals and present results at national/international conferences.

  • Participate in the preparation of grant proposals, technical reports, sponsor deliverables, and other research documentation.

  • Coordinate daily laboratory operations, including experiment scheduling, equipment allocation, and laboratory logistics.

  • Maintain and troubleshoot robotic platforms, sensors, computing resources, laboratory software to ensure operational readiness.

  • Ensure laboratory safety through regular inspections, equipment maintenance, compliance with university and sponsor safety protocols, and management of laboratory inventories.

  • Support the planning and execution of robotic demonstrations, field testing, and outreach activities.

Teaching and Mentoring: 10%

  • Support undergraduate and graduate instruction through lecture/laboratory teaching, guest lectures, curriculum development, and integration of current research into academic courses.

  • Mentor graduate and undergraduate students engaged in robotics and autonomous systems research, providing guidance in algorithm development, software implementation, experimentation, and scientific communication.

  • Assist students in research project development, preparation of technical publications, and professional development.

  • Participate in departmental seminars, laboratory demonstrations, outreach events, and lab tours.

Other: 5%

  • Perform other duties as assigned

QUALIFICATIONS

  • Doctoral degree in Robotics, Electrical Engineering, Computer Science, or a closely related field.

  • Demonstrated expertise in autonomous robotic systems and multi-agent robotics.

  • Hands-on experience with multi-robot platforms (UGVs, UAVs, or similar autonomous systems).

  • Experience integrating and using robotic sensors, including LiDAR, cameras, inertial sensors, and camera tracking systems.

  • Strong programming skills in C++ and/or Python, with experience developing software using Robot Operating System (ROS/ROS2).

  • Experience deploying and testing algorithms on physical robotic platforms.

  • Strong mathematical background in robotics, optimization, estimation, control, artificial intelligence, and algorithm development, machine learning and reinforcement learning.

  • Evidence of scholarly publications in robotics, autonomous systems, artificial intelligence, or related areas.

  • Excellent written and verbal communication skills.

  • Ability to work independently while contributing effectively within a multidisciplinary research team.

NOTE: Employment may be impacted by the Presidential proclamation issued on September 19, 2025 and the moratorium issued by Texas Governor Abbott on January 27, 2026.

BENEFITS (rules, policies, eligibility apply)

From our generous benefits package and professional development opportunities, to our retirement programs and our commitment to service excellence, the Island University is an engaging and rewarding place to work.

INSURANCE:

  • Medical

    • $0 - $30 per month for Employee Only coverage after university contribution ($920 value).

    • Up to 83% of premium covered by the university:

      • Employee and Spouse

      • Employee and Children

      • Employee and Family coverage

  • Dental & Vision

  • Life Insurance, Accidental D&D, Long Term Disability, Flexible Spending Account and Day Care Spending Account

DUAL CAREER PARTNER PROGRAM

ON-CAMPUS WELLNESS OPPORTUNITIES

Work Life Solutions:

  • Counseling, Work Life Assistance, Financial Resources, and Legal Resources

Tuition Benefits:

  • Public Loan Forgiveness

  • Book scholarships

  • 100% tuition coverage for up to 18 credit hours per fiscal year (other rules may apply).

Retirement:

  • Teacher Retirement System of Texas (TRS) or Optional Retirement Plan (ORP)

  • Voluntary Tax Deferred Account/Deferred Compensation Plan

Time Off:

  • 8+ hours of vacation paid time off every month.

  • 8 hours of sick leave time off every month.

  • 8 hours of paid time off for Birthday leave.

  • 12-15 paid holidays each year.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.


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