Senior Applications System Analyst

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 position is responsible for providing technical leadership and expertise in the design, development, deployment, and support of data-driven applications, analytics platforms, and research systems. The role focuses on developing secure, scalable solutions for data collection, processing, integration, analysis, and reporting, while supporting complex research and business requirements. This position works closely with stakeholders to define system objectives, analyze requirements, and implement innovative solutions using modern software engineering and data science practices. The incumbent also serves as a mentor, providing technical guidance and knowledge sharing to team members.

To be successful in this position, the individual must possess strong expertise in Python development, data analysis, data engineering, and scientific computing. Experience with Python libraries and frameworks such as Pandas, NumPy, SciPy, Jupyter, and related data science tools is highly desirable. The successful candidate should be comfortable working in Linux environments, using command-line interfaces (CLI), container technologies such as Docker, and modern development workflows. Experience with relational databases, cloud platforms, API development, version control, and automated deployment processes is also important. Familiarity with research, healthcare, or large-scale data platforms and experience working in agile development environments would be considered assets. This position may also be asked to serve as a technical lead or product owner.

Minimum $106,500 - Midpoint $133,000 - Maximum $159,500

Work Location: 100% remote within Texas, with onsite presence in the medical center a few times per month. Prefer a local candidate.

Why Us?

This role offers the opportunity to drive impactful technical solutions that directly support UT MD Anderson's mission to eliminate cancer. As a Senior Applications Systems Analyst, you will lead complex projects, mentor team members, and work with cutting-edge technologies in a collaborative and flexible environment that supports professional growth and work-life balance.

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.

Education

• Required: Bachelor's Degree
• Preferred: Bachelor's or Master's degree in Computer Science or Data Science degree.

Work Experience

• 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. Experience with Python libraries and frameworks such as Pandas, NumPy, SciPy, Jupyter, and related data science tools.

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