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Machine Learning Postdoc Jobs in Texas (NOW HIRING)

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX

$64K - $76K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

... machine learning approaches for complex biomedical data; and modeling of longitudinal data ... Ning and Shen postdoc application). POSITION INFORMATION MD Anderson offers full-time postdoc ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX

$64K - $76K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

... machine learning approaches for complex biomedical data; and modeling of longitudinal data ... Ning and Shen postdoc application). POSITION INFORMATION MD Anderson offers full-time postdoc ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX

$64K - $76K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

... machine learning approaches for complex biomedical data; and modeling of longitudinal data ... Ning and Shen postdoc application) POSITION INFORMATION MD Anderson offers full-time postdoc ...

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All JobsMachine Learning Postdoc JobsMachine Learning Postdoc Jobs in Texas

Machine Learning Postdoc information

See Texas salary details

$19.3K

$100.3K

$188.6K

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 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 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 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 Fellow - Biostatistics

MD Anderson Cancer Center

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 11 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

14th of 887 rated healthcare providers

Job description

The Department of Biostatistics at has one postdoctoral fellow position open for biostatistics and data science methodology research in clinical trials. The main focus is research and publication. The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation, incorporate biomarkers in clinical trial design and analysis, and build statistical learning tools for large data sets. The postdoctoral fellow will work under the supervision of Dr. Liang on challenging and important clinical and biological projects that involve complex statistical modeling, data analysis, and computation.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
Trainee will learn through various research projects, with a primary focus on: (1) developing novel statistical and data science methods, as well as user-friendly software, for integrating AI tools to evaluate novel treatments or design future clinical trials in overall population or subgroups, and (2) analyzing real-world and institutional medical datasets. A major methodological focus will be integrating machine learning/artificial intelligence tools, causal inference methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment decisions that may vary by different patients' subgroups.
ELIGIBILITY REQUIREMENTS
Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication in a peer reviewed journal stemming from PhD studies is required. Candidates must have strong methodological training in statistics or biostatistics, especially in causal inference or semiparametric methods, and have strong computer programming skills, in particular using R or Python. Expertise or skills in the following areas are highly desirable: Causal inference, double/debias machine learning, semiparametric methods, Bayesian MCMC computational methods, adaptive clinical trials, and machine learning for estimation or decision-making.
Please send CV and information on three referees directly to mliang2@mdanderson.org.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000 . depending on the number of years of postgraduate experience. 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
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
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

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