Senior Python Data Systems Lead (Remote, TX)

University of Texas MD Anderson Cancer Center; Houston, Northern (TX, KY); Hybrid; USD 107,000 - 160,000; Full time

Benefits offered by this job

Medical coverage

PTO & holidays

Tuition assistance

Pension plan

Job summary

The Senior Applications Systems Analyst at University of Texas MD Anderson Cancer Center designs, builds, deploys, and supports data-driven applications, analytics platforms, and research systems. You will lead technical projects, mentor teammates, and collaborate with stakeholders to translate complex requirements into scalable, secure solutions across Linux environments and containerized workflows.

You should bring strong Python development expertise, experience with Pandas, NumPy, SciPy,

Qualifications

• Required: 5 years Experience in epic software, domain, analysis, design, project management, or programming.
• May substitute required education degree with additional years of equivalent experience on a one to one basis.
• Preferred: At least 5 years of software development experience, strong expertise in Python development, data analysis, data engineering, and scientific computing.

Responsibilities

• Provide technical leadership and expertise in the design, development, deployment, and support of data-driven applications, analytics platforms, and research systems.
• Mentor team members and share knowledge to improve engineering practices.
• Collaborate with stakeholders to define system objectives and implement secure, scalable solutions.

Skills

Python development

Data analysis

Data engineering

Scientific computing

Education

Bachelor's Degree in Computer Science

Bachelor's or Master's in CS or Data Science

Tools

Docker

CLI

Linux

APIs

Version control

CI/CD

Cloud platforms

Job description

The Senior Applications Systems Analyst at University of Texas MD Anderson Cancer Center designs, builds, deploys, and supports data-driven applications, analytics platforms, and research systems. You will lead technical projects, mentor teammates, and collaborate with stakeholders to translate complex requirements into scalable, secure solutions across Linux environments and containerized workflows.

You should bring strong Python development expertise, experience with Pandas, NumPy, SciPy,