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Biomedical Engineer Phd Jobs in Dallas, TX (NOW HIRING)

Azure Data Solutions Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

... biomedical engineering, engineering, or bioinformatics/computational biology, with 4+ years of experience (or MS with 2+ years of experience, or PhD) in the biotech/pharmaceutical/ healthcare ...

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Biomedical Engineer Phd information

See Dallas, TX salary details

$40.6K

$93.9K

$138.6K

How much do biomedical engineer phd jobs pay per year?

As of Sep 1, 2026, the average yearly pay for biomedical engineer phd in Dallas, TX is $93,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $114,800.00 per year, depending on experience, location, and employer.

What does a biomedical engineer PhD do?

A Biomedical Engineer PhD conducts advanced research and develops innovative solutions at the intersection of engineering, biology, and medicine. They design and improve medical devices, imaging systems, and biotechnologies, often working in academic, clinical, or industry settings. Their work may include publishing scientific papers, leading research projects, and collaborating with healthcare professionals to translate discoveries into practical applications that improve patient care.

What types of projects and collaborations can a biomedical engineer PhD expect to engage in within a multidisciplinary team?

Biomedical Engineer PhDs often work on projects that require close collaboration with clinicians, biologists, and other engineers. These collaborations may involve developing medical devices, improving imaging technologies, or conducting translational research that bridges laboratory findings with patient care. On a typical team, you might contribute expertise in advanced data analysis, experimental design, or regulatory compliance, while learning from colleagues in other specialties. This multidisciplinary environment fosters innovation and can open doors to leadership roles or specialized research positions in both academia and industry.

What are the key skills and qualifications needed to thrive as a biomedical engineer PhD, and why are they important?

To excel as a Biomedical Engineer PhD, you need advanced knowledge in biomedical engineering principles, research methodologies, and a doctoral degree in biomedical engineering or a related field. Familiarity with tools such as MATLAB, CAD software, laboratory instrumentation, and experience with regulatory standards like FDA or ISO is crucial. Exceptional analytical thinking, problem-solving abilities, and strong communication skills are vital for collaborating with multidisciplinary teams and conveying complex findings. These skills ensure innovative solutions, effective cross-functional teamwork, and successful navigation of regulatory and research challenges in biomedical engineering.

What is the difference between Biomedical Engineer Phd vs Biomedical Engineer?

AspectBiomedical Engineer PhdBiomedical Engineer
Required CredentialsPhD in Biomedical Engineering or related fieldBachelor's or Master's in Biomedical Engineering or related field
Work EnvironmentResearch labs, academia, advanced R&DHospitals, medical device companies, industry
Employer & Industry UsageAcademic institutions, research organizations, specialized R&DMedical device firms, healthcare facilities, manufacturing

The main difference between a Biomedical Engineer Phd and a Biomedical Engineer lies in education level, with the Phd focusing on advanced research and academic roles, while the Biomedical Engineer typically works in industry or clinical settings with a bachelor's or master's degree. The Phd often engages in innovative research, whereas the Biomedical Engineer applies engineering principles to develop and improve medical devices and systems.

What cities near Dallas, TX are hiring for Biomedical Engineer Phd jobs?

Cities near Dallas, TX with the most Biomedical Engineer Phd job openings:

Infographic showing various Biomedical Engineer Phd job openings in Dallas, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $93,857 per year, or $45.1 per hour.

POSTDOCTORAL RESEARCHER - MEG - Davenport Lab [Req#: 953379, Position#: 125497]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 898 rated healthcare providers


Job description

Description
Our MEG Team within the Department of Radiology is looking for a postdoctoral researcher to lead and support research activities focused on mapping cerebellar-thalamic-cortical networks in patients with cerebellar disorders using advanced multimodal neuroimaging techniques. The position will involve acquisition, processing, and analysis of data from OPM-MEG and conventional clinical SQUID MEG, as well as collaboration with teams analyzing functional MRI and stereoelectroencephalography (SEEG) data.
Responsibilities include OPM-MEG system hardware and workflow development, collaborating with study coordinators to support research participant scanning, developing and implementing signal processing and source localization methods, preparing manuscripts and conference presentations, assisting with grant-related activities, mentoring trainees, and contributing to collaborative translational neuroscience research.
Qualifications
Required:
- PhD, MD/PhD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Electrical Engineering, Computer Science, Physics, Applied Mathematics, or a related field.
- Experience with neuroimaging, electrophysiology, signal processing, computational neuroscience, or related quantitative research methodologies.
- Demonstrated programming and data analysis experience using scientific computing tools such as MATLAB, Python, or similar platforms.
- Strong written and verbal communication skills.
Preferred:
- Experience with MEG, EEG, source localization, functional MRI, stereoelectroencephalography (SEEG), or related neuroimaging modalities.
- Experience analyzing neural time-series data and applying advanced statistical methods.
- Experience working in multidisciplinary research environments and contributing to collaborative research projects.
Application Instructions
Interested individuals must upload a CV and a list of three (3) references.

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