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REQUIREMENTS
Education Required: Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Preferred Education: Master's degree or PhD with a concentration in Science, Engineering or related field.
Certification Required: None
Preferred Certification: None
Experience Required: Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience required.
Preferred Experience: The ideal candidate will have formal training and experience in computational analysis of medical imaging data, particularly MRI, PET, or CT, and a strong understanding of image processing and quantitative imaging biomarker development. Experience applying deep learning or machine learning methods (e.g., convolutional neural networks, random forest) to imaging or biomedical datasets is highly desirable. The candidate should be proficient in scripting and statistical computing (e.g., Python, R, MATLAB), and comfortable working in high-performance or cloud-based computing environments.
Candidates with experience in developing and maintaining scalable pipelines for large-scale imaging and multi-modal data integration; including genomics, transcriptomics, or clinical data; are strongly encouraged to apply. Familiarity with software containerization tools such as Docker or Conda, and workflow management systems (e.g., Snakemake, Nextflow), is a plus. Prior knowledge of cancer biology, radiomics, or clinical trial data analysis will be advantageous. Experience with software development best practices and collaborative, version-controlled projects (e.g., using Git) is preferred. Candidates must thrive in a collaborative, interdisciplinary research environment.
Onsite Presence: Hybrid
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
