Research Scientist - Imaging Physics / Research

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
•    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.