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Machine Learning Postdoc Jobs in Texas (NOW HIRING)

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Machine Learning Postdoc information

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$19.3K

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How much do machine learning postdoc jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning postdoc in Texas is $100,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,007.00 and $138,071.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a machine learning postdoc position?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What is a machine learning postdoc?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a machine learning postdoc?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

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

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

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

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

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

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

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

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

Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Texas as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $100,252 per year, or $48.2 per hour.

Postdoctoral Associate - Aortic Imaging & Clinical Research

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 29 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities

Job description

Postdoctoral Associate - Aortic Imaging & Clinical Research
Division: Surgery
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
A Postdoctoral Associate position is available in the Division of Vascular Surgery's Vascular Intelligence for Translational AI & Learning (VITAL) Lab, Michael E. DeBakey Department of Surgery. The Postdoctoral Associate will focus on clinical data collection, data management, and imaging-based and clinical research in aortic disease. They must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research.
The Postdoctoral Associate will receive training under the guidance of the Principal Investigators and collaborating investigators to conduct prospective or retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation of clinical and imaging findings, manuscript preparation, and presentation of research findings at scientific meetings. This position provides an excellent platform for career development and the opportunity to contribute to cutting-edge research in advanced endovascular aortic therapies within a collaborative, multidisciplinary research environment.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Participates in prospective and retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repair, including protocol development, study design, clinical data collection and management, and imaging data organization and analysis.
  • Participates in vascular imaging research that includes CTA/DICOM image acquisition, interpretation, imaging-based outcome analysis, and AI- and digital twin-based research initiatives.
  • Develops research protocols, including IRB submissions and amendments, and contribute to coordination of multicenter clinical research studies.
  • Works collaboratively and professionally within multidisciplinary teams. while demonstrating strong communication skills, accountability, teamwork, and a positive attitude in support of aortic research projects.
  • Performs data analysis and interpretation of clinical and imaging research findings.
  • Prepares high-quality abstracts, manuscripts, presentations, scientific reports, and other academic materials for peer-reviewed publications and local, national, and international professional conferences.
  • Contributes to scholarly and collaborative research activities.
  • Demonstrates strong written and verbal communication skills, attention to detail, professionalism, and the ability to manage multiple research responsibilities in a timely and organized manner.
  • Completes assigned responsibilities accurately and efficiently, maintain research documentation and data quality standards, and perform other duties as assigned.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research.
  • Experience in clinical or imaging-based research.
  • Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
NN; PD; SN
Requisition ID: 25511

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