Assistant Data Scientist - Radiation Physics - Research

*Assistant Data Scientist* The University of Texas MD Anderson Cancer Center is a leading institution focused on eliminating cancer through exceptional patient care, research, prevention, and education. The Assistant Data Scientist role supports innovative computational and scientific initiatives that advance proton therapy and radiation physics programs. As an Assistant Data Scientist, you will contribute to software development, data analysis, and treatment-planning technologies that support critical cancer care and research efforts. Within Radiation Physics - Research, the Assistant Data Scientist collaborates with multidisciplinary teams to develop and maintain algorithms, software tools, and computational infrastructure. The Assistant Data Scientist plays an important role in supporting dose computations, treatment planning, image processing, and scientific analyses while growing technical expertise under direct supervision at UT MD Anderson. The ideal candidate has a bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or a related field, with a master's degree preferred. Candidates who demonstrate strong analytical abilities, programming aptitude, curiosity for scientific discovery, and an interest in computational applications for proton therapy and radiation physics will be well suited for this opportunity. Salary Range (40-hour work week): Minimum $32.93/hour - Midpoint $41.11/hour - Maximum $49.28/hour *Why Us?* At UT MD Anderson, this role offers the opportunity to contribute to leading-edge proton therapy research and treatment planning initiatives that directly support the institution's mission to eliminate cancer. Team members gain valuable experience working with advanced computational methods, scientific software development, and multidisciplinary clinical and research professionals while building a rewarding career in a mission-driven environment. - 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. *Responsibilities* *Software Development * - Assist in analyzing data-related problems, formalisms, algorithms, and software applications - Contribute to the development of complex proton therapy algorithms under direct supervision - Support programming activities across multiple systems and technical environments - Participate in software implementation efforts related to proton dose computations and treatment planning *Project Development * - Contribute to analysis activities supporting the development of formalisms, algorithms, and software - Assist with complex applications involving dose computations - Support Monte Carlo techniques used in radiation physics applications - Participate in treatment planning studies utilizing developed computational systems - Contribute to image processing, measurements, and data analysis initiatives related to proton therapy Infrastructure Tool Development - Develop software tools under direction to address specific operational and scientific challenges - Maintain computational infrastructure supporting treatment planning and dose computation activities - Assist with implementation of new software solutions for measurements and image processing - Support ongoing enhancements to computational systems and technical workflows Research & Technical Support - Participate in activities related to proton therapy research and treatment planning - Support software maintenance and optimization efforts - Collaborate with technical and scientific teams to resolve computational challenges - Assist with analysis and validation of computational methods and results Additional Duties - Perform other duties as assigned *EDUCATION* * Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. * Preferred: Master's Degree In a related field. *WORK EXPERIENCE* * Required: None The University of Texas MD Anderson Cancer Center offers excellent 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: 183178 * Employment Status: Full-Time * Employee Status: Regular * Work Week: Days * Minimum Salary: US Dollar (USD) 68,500 * Midpoint Salary: US Dollar (USD) 85,500 * Maximum Salary : US Dollar (USD) 102,500 * FLSA: exempt and not eligible for overtime pay * Fund Type: Soft * Work Location: Onsite * Pivotal Position: Yes * Referral Bonus Available?: Yes * Relocation Assistance Available?: Yes \#LI-Onsite