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Contract Biomedical Machine Learning Jobs in Dallas, TX

Biomedical Technician Apprentice

Dallas, TX · On-site

$25 - $33.25/hr

Summary In this learning focused role, the Biomedical Technician Apprentice will respond to service ... As instructed, implement GEHC/customer facility contract, supporting business goals and objectives.

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

Duration: Long-Term Contract Client: EmergerTech - USLBM Job Overview We are seeking a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, Generative AI, and Large ...

Plano, TX / Reston, VA (Hybrid) Duration: Long term contract Interview: Onsite Top Skills' Details: 1. Strong Python and AWS skills 2. Machine Learning, LLM, GenAi experience 3. Needs to be a hands ...

... Contract Programming: Proficiency in Python, R, and SQL. Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra. Machine Learning: Knowledge of ...

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration ... Build, train, validate, and deploy machine learning models for predictive analytics. * Design and ...

Showing results 41-60

Contract Biomedical Machine Learning information

See Dallas, TX salary details

$15

$28

$38

How much do contract biomedical machine learning jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for contract biomedical machine learning in Dallas, TX is $28.22, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $31.88 per hour, depending on experience, location, and employer.

What is the difference between Contract Biomedical Machine Learning vs Contract Data Scientist?

AspectContract Biomedical Machine LearningContract Data Scientist
CredentialsBackground in biomedical engineering, machine learning, data analysisBackground in statistics, computer science, data analysis
Work EnvironmentHealthcare, biotech, research labsTech companies, finance, consulting firms
Industry UsageMedical device development, clinical researchBusiness analytics, product development

Contract Biomedical Machine Learning specialists focus on applying machine learning techniques to biomedical data within healthcare and biotech settings. In contrast, Contract Data Scientists work across various industries analyzing data to inform business decisions. While both roles require data analysis skills, Contract Biomedical Machine Learning emphasizes biomedical knowledge and healthcare applications.

What are popular job titles related to Contract Biomedical Machine Learning jobs in Dallas, TX? For Contract Biomedical Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Contract Biomedical Machine Learning jobs in Dallas, TX look for? The top searched job categories for Contract Biomedical Machine Learning jobs in Dallas, TX are:
Infographic showing various Contract Biomedical Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $58,694 per year, or $28.2 per hour.

POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab [Req#: 931349,

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 25 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

109th of 887 rated healthcare providers


Job description

Description
The Postdoctoral Fellow will play a key role in the CPRIT-funded Data Science and AI Core for Population Research (DAICOR), contributing to the development and deployment of advanced imaging-based AI tools to improve early cancer detection and population-level cancer research. Responsibilities include designing and implementing machine learning and deep learning models for medical image analysis across diverse cancer screening modalities (e.g., mammography, CT, ultrasound); developing pipelines for image preprocessing, harmonization, and integration with the DAICOR secure digital platform; and conducting rigorous validation studies to assess performance, bias, and generalizability of AI tools. The fellow will collaborate closely with clinicians, data scientists, and population researchers to extract imaging-derived biomarkers, support multimodal data integration, and contribute to scientific manuscripts and grant reports. Additional duties include assisting with training sessions and providing technical support to healthcare providers and researchers across Texas to facilitate the responsible and effective use of AI tools.
Qualifications
The ideal candidate will have a PhD in biomedical engineering, computer science, medical physics, or a related field, with strong experience in medical image analysis, machine learning, and coding in Python. Experience with large-scale imaging datasets and AI deployment in clinical or research environments is preferred.
Application Instructions
Interested individuals must upload a CV, cover letter, and a list of three references and email Guanghua.Xiao@UTSouthwestern.edu.
Equal Employment Opportunity Statement
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/

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