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At MD Anderson Cancer Center, you'll be part of a world-class institution committed to *Making Cancer History®*. In the *Data Impact & Governance Department*, your work will directly influence how we harness data and AI to transform cancer care. This is more than a job-it's an opportunity to apply cutting-edge AI and machine learning to real-world healthcare challenges, driving innovations that save lives.

*What's in it for you?*

* *Paid Medical Benefits*: MD Anderson covers *100% of medical benefits* for employees, plus dental and vision options.

* *Generous Paid Time Off (PTO)*: Vacation, sick leave, and holidays to help you recharge.

* *Retirement Plans*: Secure your future with robust retirement programs and employer contributions.

* *Professional Growth*: Access to advanced training, research opportunities, and leadership development.

* *Mission-Driven Work*: Your expertise will accelerate responsible AI adoption in oncology, impacting patient care globally.

*Key Responsibilities *

*AI Development & Validation*

* Design, develop, validate, and deploy scalable machine learning models using multimodal healthcare datasets (EHR, imaging, genomics, pathology).

* Execute rigorous validation through pilot studies, silent trials, and performance monitoring against clinical and operational KPIs.

* Translate complex clinical challenges into actionable AI-driven insights.

*AI Architecture & Lifecycle Management*

* Architect scalable, reliable AI/ML pipelines optimized for production environments.

* Manage AI model lifecycles including versioning, retraining, governance, and compliance with healthcare regulations (FDA, HIPAA).

*Integration & AI Assurance*

* Collaborate with clinicians, data engineers, and ML engineers to integrate AI into clinical workflows.

* Implement assurance frameworks to measure and enhance AI solution efficacy, safety, and reliability.

*Governance & Compliance*

* Ensure adherence to institutional policies, ethical standards, and regulatory guidelines.

* Maintain comprehensive documentation for auditability and transparency.

*Collaboration & Communication*

* Communicate technical concepts clearly to both technical and non-technical audiences.

* Document workflows, model performance, and project progress using Agile methodologies.

*Innovation & Thought Leadership*

* Contribute to AI research and industry forums, positioning MD Anderson as a leader in responsible healthcare AI.

* Explore emerging technologies (e.g., generative AI, agentic AI) for practical integration.

*Other Duties*

* Perform additional tasks as assigned to support departmental goals.

*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](https://www.utsystem.edu/offices/employee-benefits/insurance-0/eligibility), including medical, dental, [paid time off](https://www.mdanderson.org/about-md-anderson/employee-resources/leave.html), [retirement](https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs), 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: 175350

* Employment Status: Full-Time

* Employee Status: Regular

* Work Week: Days

* Minimum Salary: US Dollar (USD) 123,000

* Midpoint Salary: US Dollar (USD) 154,000

* Maximum Salary : US Dollar (USD) 185,000

* FLSA: exempt and not eligible for overtime pay

* Fund Type: Hard

* Work Location: Remote (within Texas only)

* Pivotal Position: Yes

* Referral Bonus Available?: Yes

* Relocation Assistance Available?: Yes

* Science Jobs: No

\#LI-Remote