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Machine Learning Postdoc information

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$21.3K

$110.5K

$207.9K

How much do machine learning postdoc jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning postdoc in Houston, TX is $110,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,214.00 and $152,166.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Postdoc position, and why are they important?

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 job?

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 position?

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 Houston, TX? The most popular types of Machine Learning Postdoc jobs in Houston, TX are:
What are popular job titles related to Machine Learning Postdoc jobs in Houston, TX? For Machine Learning Postdoc jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Postdoc jobs in Houston, TX look for? The top searched job categories for Machine Learning Postdoc jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Postdoc jobs? Cities near Houston, TX with the most Machine Learning Postdoc job openings:
Machine Learning Postdoc jobs near you
Postdoctoral Fellow - Biostatistics

Postdoctoral Fellow - Biostatistics

MD Anderson

Houston, TX • On-site

$64K - $76K/yr

Other

Medical, Dental, Retirement, PTO

Posted 10 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

33rd of 872 rated healthcare providers

Job description

The Department of Biostatistics at The University of Texas MD Anderson Cancer Center is seeking a postdoctoral fellow in biostatistical methodology. This position emphasizes methodological research and publication. The successful candidate will work under the joint supervision of Drs.

Jing Ning and Yu Shen. Research areas of interest include but are not limited to; development of statistical methods for integrating multiple data sources; machine learning approaches for complex biomedical data; and modeling of longitudinal data, survival analysis, and related methodologies. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES 1. Gain expertise in biostatistics methodology research under the mentorship of Drs. Ning and Shen and develop independent and collaborative research abilities.

2. Innovate new statistical methods and machine learning approaches for the analysis of biomedical data and evaluate these methods through simulation studies and real data applications. 3.

Write and submit research manuscripts to high-impact peer-reviewed journals to disseminate research findings and advance the field. 4. Attend and present research findings at scientific conferences and seminars to communicate results and engage in scientific discourse.

ELIGIBILITY REQUIREMENTS We are seeking a highly motivated individual with a Ph.D. degree in statistics/biostatistics or a related field. The ideal candidate must have solid methodology training in statistics/biostatistics, as well as strong programming skills, particularly in R, Matlab, or Python, and preferably one lower-level computer language such as C

Expertise or skills in any of the following areas are desirable: survival data analysis for observational studies/electronic health records, data integration, conformal inference, transfer learning, and numerical optimization. ADDITIONAL APPLICATION INFORMATION Interested applicants should send a cover letter, statement of research interests, vitae and three references to yshen@mdanderson.org and jning@mdanderson.org (Subject line: Drs. Ning and Shen postdoc application)

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 Apply

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