Postdoctoral Fellow - GI Med Oncology - Research jobs in United States
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Komen Graduate Training Program UT MDACC · 1 month ago

Postdoctoral Fellow - GI Med Oncology - Research

The University of Texas MD Anderson Cancer Center is seeking an outstanding Postdoctoral Fellow to join the Department of Gastrointestinal Medical Oncology. The role focuses on advancing foundational artificial intelligence models for oncology, contributing to the development of next-generation multimodal AI systems to improve patient outcomes and enhance clinical operations.

Hospital & Health Care
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H1B Sponsor Likelynote

Responsibilities

Develop, refine, and validate foundational AI models using large-scale multimodal oncology datasets
Integrate heterogeneous data sources, including electronic health records, digital pathology images, radiology data, bulk and single-cell omics, and real-world clinical outcomes
Design and implement novel computational frameworks for therapy response modeling, treatment optimization, clinical trial matching, and patient care enhancement
Collaborate closely with clinicians, computational scientists, biologists, and disease groups across MD Anderson
Disseminate research findings through peer-reviewed publications and presentations at national and international scientific meetings
Assist in grant development and project coordination as needed

Qualification

Machine LearningDeep LearningPythonComputational BiologyBioinformaticsLarge-scale DatasetsPublication SkillsProject CoordinationCollaboration

Required

PhD in Computer Science, Computational Biology, Bioinformatics, Electrical Engineering, Biomedical Engineering, or a related quantitative discipline
Demonstrated expertise in machine learning or deep learning, including familiarity with large language models, multimodal architectures, or generative AI
Proficiency in Python and modern machine learning frameworks (e.g., PyTorch, TensorFlow, JAX)
Experience working with biological, clinical, or other high-dimensional datasets

Preferred

Background in oncology, cancer biology, immunology, or translational research
Experience with foundational model development, self-supervised learning approaches, or large-scale distributed training
Familiarity with EHR data structures, digital pathology workflows, or multi-omics integration
Strong publication record demonstrating rigor, innovation, and independence

Benefits

Medical
Dental
Paid time off
Retirement
Tuition benefits
Educational opportunities
Individual and team recognition

Company

Komen Graduate Training Program UT MDACC

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Through generous funding from Susan G.

H1B Sponsorship

Komen Graduate Training Program UT MDACC has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)

Funding

Current Stage
Early Stage
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