The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public.
The ideal candidate will have research experience in one or more of the following areas: computer programming languages, radiotherapy care (including contouring, inverse planning, image registration, or QA), and/or a PhD in biomedical engineering or a related field. We are seeking individuals who demonstrate strong analytical skills, attention to detail, and a passion for advancing research in these areas. Candidates with a combination of technical expertise and a collaborative mindset will be well-suited for this role.
A research scientist position focusing on MR-guided adaptive radiation therapy is open in the Department of Radiation Physics, Division of Radiation Oncology. The research project will implement advanced image reconstruction methods and evaluate feasibility for offline and online adaptive treatment planning and radiotherapy delivery. This work will be developed in the context of a larger initiative aimed at exploring the use of quantitative and functional imaging to improve radiation therapy care and outcomes. The Division of Radiation Oncology houses multiple state-of-the-art MRI scanners, linear accelerators, and a hybrid MR-Linac. Our team is looking for a highly-motivated member interested in joining a collaborative group of scientists and physicians.

EDUCATION

Required: Masters degree in one of the natural sciences or related field.

EXPERIENCE

Required: Four years of experience in experimental or scientific work. With PhD, no experience required. With Medical degree, two years of experience in experimental or scientific work.
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: 172784
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• Minimum Salary: US Dollar (USD) 66,500
• Midpoint Salary: US Dollar (USD) 83,000
• Maximum Salary : US Dollar (USD) 99,500
• 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
• Science Jobs: Yes

LI-Onsit

Please refer the Job description for details