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Biomedical Machine Learning Jobs in Texas (NOW HIRING)

MD Anderson

Data Scientist - Digital Pathology

Houston, TX · Hybrid

$106K/yr

You'll develop and evaluate state-of-the-art AI and machine learning approaches, build and maintain ... Other Other duties as assigned Education Required: • Bachelor's Degree in Biomedical Engineering ...

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How much do biomedical machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for biomedical machine learning in Texas is $26.58, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $30.00 per hour, depending on experience, location, and employer.

What is a biomedical machine learning?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a biomedical machine learning do?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in biomedical machine learning, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in Texas?

The most popular types of Biomedical Machine Learning jobs in Texas are:

What are popular job titles related to Biomedical Machine Learning jobs in Texas?

For Biomedical Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Biomedical Machine Learning jobs in Texas look for?

The top searched job categories for Biomedical Machine Learning jobs in Texas are:

What cities in Texas are hiring for Biomedical Machine Learning jobs?

Cities in Texas with the most Biomedical Machine Learning job openings:

Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $55,278 per year, or $26.6 per hour.

Data Scientist - Digital Pathology

MD Anderson

Houston, TX • Hybrid

$106K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

12th of 898 rated healthcare providers

Job description

Join MD Anderson's Translational Molecular Pathology team as a Data Scientist and help develop innovative AI technologies that have the potential to transform how cancer is understood, diagnosed, and treated. You'll work at the intersection of artificial intelligence, multimodal pathology, molecular data, and oncology, developing computational methods that turn complex biological data into meaningful insights and move discoveries toward clinical translation.
What's in it for you? This role offers the opportunity to work alongside a highly interdisciplinary team of scientists, pathologists, clinicians, and researchers on cutting-edge problems in cancer research. You'll develop and evaluate state-of-the-art AI and machine learning approaches, build and maintain analytical pipelines and computational infrastructure, and contribute to the design of pathology, biological, and sequencing experiments that generate high-quality data for machine learning.
You'll also have the opportunity to publish your work in high-impact journals and machine learning conferences, present findings at internal and external conferences, and collaborate with experts across disciplines to generate biologically meaningful results. As your expertise grows, you'll also mentor junior trainees and help advance innovative computational approaches toward real-world clinical applications in oncology.
At MD Anderson, you'll also enjoy a comprehensive benefits package, including competitive pay, an annual merit increase program, annual incentive opportunities, an employer-funded pension contribution, medical/dental/vision coverage, generous paid time off, and opportunities for professional growth and development.
If you're a data scientist passionate about AI, machine learning, and cancer research-and want to see your work move beyond algorithms and toward meaningful clinical impact-this is an opportunity to make a difference at MD Anderson.
The ideal candidate will have digital pathology experience
JOB SPECIFIC COMPETENCIES
Develop impact-driven AI technologies for pathology Develop and maintain computational methods with AI in multimodal pathology.
Publish in high-impact journals and machine learning conferences.
Work with a highly interdisciplinary team to generate biologically meaningful results and work towards clinical translation of AI for oncology.
Keep current and evaluate state-of-the-art methods and tools, establish and help maintain computational infrastructure and analytic pipelines.
Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning.
Present results in collaboration meetings, internal and external conferences.
Mentor junior trainees with their projects.
Other
Other duties as assigned
Education
Required:
• Bachelor's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field
Preferred:
• Master's Degree in Science, Engineering or related field
• PhD in Science, Engineering or related field
Work Experience
Required:
• 3 years of scientific software or industry development/analysis experience OR
• 1 year of required experience with Master's degree OR
• With PhD, no experience required
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
Additional Information
  • Requisition ID: 182875
  • Employment Status: Full-Time
  • Employee Status: Regular
  • Work Week: Days
  • Minimum Salary: US Dollar (USD) 106,500
  • Midpoint Salary: US Dollar (USD) 133,000
  • Maximum Salary : US Dollar (USD) 159,500
  • FLSA: exempt and not eligible for overtime pay
  • Fund Type: Soft
  • Work Location: Hybrid Onsite/Remote
  • Pivotal Position: Yes
  • Referral Bonus Available?: Yes
  • Relocation Assistance Available?: Yes

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