Senior Data Scientist - Healthcare AI

Required Education: 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/ Doctorate (Academic)

Preferred Certification:

Epic certified; EPIC cogito, EPIC caboodle, EPIC Cognitive Compute.
Azure Data Scientist Associate (DP-100) or equivalent.
Azure AI Engineer Associate (AI-102) or equivalent.
SAFe (Scaled Agile Framework) Certifications or equivalent.

Certification Required: Must obtain at least one Epic Data Model certification issued by Epic within 180 days of date of entry of job. 

Required Experience: Five years of experience in scientific software or industry programming with a concentration in scientific computing. With Master's degree, three years’ experience required. With PhD, one year of experience required.

Preferred Experience/Skills: Two years of academic or healthcare industry in a Senior Data Scientist role, exposure to generative AI, large language models (LLMs), and agentic AI with a desire to grow these skills, experience with AI orchestration and autonomous agent development, knowledge of enterprise healthcare systems (e.g. EHR/Epic, PACS, ERP).

Preferred Technical Experience: Experience with human-in-the-loop systems and active learning for data curation, proven track record building and validating AI models on real-world data, skilled in constructing scalable data pipelines, model artifact management, and model performance analytics, experienced with MLOps tools and processes for data, features, code, and model management, strong proficiency in Python and either C++ or C#, with practical knowledge of TensorFlow, PyTorch, and Scikit-learn, experience with healthcare data types and standards (FHIR, HL7, DICOM), strong understanding of AI lifecycle management, governance, and compliance with healthcare regulations, authorship as first author on peer-reviewed publications or equivalent evidence demonstrating impactful application of AI/ML in healthcare or biomedical domains.

Work Location: Remote in Texas only. 

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