Research Scientist - Machine Learning for Imaging Physics

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The University of Texas MD Anderson Cancer Center is seeking a highly motivated Research Scientist specializing in Machine Learning for Imaging Physics to develop , implement, and validate advanced computational methods for cancer research. This role focuses on leveraging imaging data and high-dimensional biomedical datasets to advance clinical and translational research.

The ideal candidate has a proven track record in machine learning, data science, and computational research and thrives in a highly collaborative, multidisciplinary environment.

Key Responsibilities

Machine Learning & AI Development

• Develop, implement, and optimize cutting edge machine learning algorithms for biomedical and cancer imaging research.
• Apply supervised, unsupervised, and reinforcement learning methods, as well as deep learning architectures (CNNs, RNNs, transformers).
• Utilize explainable AI (XAI), model interpretability, and bias mitigation frameworks in clinical decision support applications.
• Work with programming languages and ML tools including Python, R, TensorFlow, PyTorch, scikit learn, and related frameworks.
• Build scalable, reproducible ML pipelines and research software tools in collaboration with the Principal Investigator (PI).
• Write clean, well documented, and collaborative code supporting long-term research goals.
  
  

Data Management & Research Innovation

• Manage, analyze, and integrate large, high dimensional datasets including imaging, genomic, and proteomic data.
• Conduct data preprocessing, feature engineering, dimensionality reduction, and multi omics data integration.
• Perform statistical analyses and use bioinformatics methods to extract insights from complex datasets.
• Lead or contribute to innovative research projects resulting in publications, conference presentations, and/or intellectual property.
• Identify and incorporate emerging machine learning trends into ongoing and future research.
• Demonstrate strong analytical reasoning and creative problem solving in designing research solutions.
  
  

Collaboration & Administrative Responsibilities

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• Work collaboratively within a multi disciplinary team of biologists, clinicians, physicists, and data scientists.
• Communicate complex technical concepts clearly to technical and non technical stakeholders.
• Mentor graduate students, postdocs, and junior scientists in machine learning and computation.
• Assist with project planning, documentation, and research related administrative tasks.
  
  

Why Join MD Anderson?

MD Anderson Cancer Center offers an exceptional benefits package, including:

• Medical, dental, and vision coverage
• Generous paid time off
• Retirement programs
• Tuition assistance & educational opportunities
• Recognition programs for individual and team achievements
  
  

Become part of a world-renowned community working to advance cancer research through innovation in imaging physics and machine learning.

EDUCATION

• Required: Master's Degree Natural sciences or related field.
• Preferred: PhD Natural sciences. or
• Medical Degree
  
  

Work Experience

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• Required: 4 years Experimental or scientific work. or
• Required: 2 years Experimental or scientific work with medical degree. or
• Required: No experience required with PhD.
  
  

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: 178416
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• Minimum Salary: US Dollar (USD) 68,500
• Midpoint Salary: US Dollar (USD) 85,500
• Maximum Salary : US Dollar (USD) 102,500
• FLSA: exempt and not eligible for overtime pay
• Fund Type: Soft
• Work Location: Hybrid Onsite/Remote
• Pivotal Position: Yes
• Referral Bonus Available?: No
• Relocation Assistance Available?: Yes
  
  

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