MD Anderson Cancer Center Computational Scientist - Proton Therapy Center in Houston, Texas
The primary purpose of the Computational Scientists position in the Proton Therapy Center at MD Anderson is to establish and build a computational infrastructure in the Texas Particle Therapy Institute (TPTI) to facilitate the clinical operation efficiency improvement and advance the state of art proton/particle therapy technology.
The ideal candidate is expected to possess the unique skills to improve and implement the new dose calculation methods and optimization methods. The candidate is also required to be the expert on the high performance computing, large database design and is able to design algorithm using the deep learning method.
The candidate will work on three aspects of the technology developments of proton/particle therapy:
Focus on new technology development and improvement such as Single Isocenter Adaptive Stereotactic Body Proton Therapy (SIAP) and proton arc therapy based on synchrotron.
Work very closely with clinical medical physicists and basic research physicists to implement technologies to improve clinical operation efficiency such as knowledge based automatic proton treatment planning and automatic quality assurance for safety operation of proton therapy.
Take the lead on designing and implementing a big database to facility datamining of the proton therapy outcome data using deep learning technology.
Develop the new technology so that MDACC Proton Group should be ahead of technology development in the world
Develop all necessary computational infrastructures so that proton center will able to perform single isocenter adaptive Stereotactic Body Proton Therapy routinely
Perform all necessary work to dramatically improve the state of art proton therapy delivery such as proton arc therapy based on Synchrotron.
Develop all necessary tool to support the new clinical trial such as proton trial based on LET/RBE optimization.
Develop the tool for the future particle therapy such as Carbon Therapy Treatment planning.
Develop tools to improve the clinical operation efficiency
Develop the computational infrastructure for the commissioning of the new proton therapy center
Knowledge based automatic proton treatment planning
Automatic plan check
Physics QA database to facilitate physics QA automation and automatic error detection
Automatic chart printing
Improve and propose new automatic patient setup to improve patient treatment workflow
Dramatically improve PIAS
Surface imaging to facilitate the treatment setup
Virtual patient treatment simulation to provide better setup guidance
Build a research infrastructure to facilitate the proton research
Work with Radiation Biology group to help biology experiment and process data
Develop biology model based on the biology experiment
Demonstrate the advantage of proton therapy by using clinical outcome data
Build a HPlusQA like database to provide all dosimetric data for all proton patients treated in MDACC. Provide the dosimetric data service for all the researchers.
Dosimetric data include dose, MC dose, RBE dose, LET value etc
Provide Proton Quantec Model based on MDACC's outcome data
Provide auto-contouring service. For outcome data, implementing the auto-contouring software so that any organs can be trained through deep learning technology
Provide the deformable registration service to facilitate the data summation
Provide the Radiomic data services as well as MRI features data services
Provide deep learning service to correlate clinical data and dosimetric data
Build a cloud based platform to manage the treatment planning data for multi-center clinical trials
Work with TPS, CT/MRI vendor and other vendors to test and validate new features in TPS or other softwares
Test and validate MC in TPS vendors and provide the feedback very early; Test and validate new planning tools in TPS such as LET/RBE based optimization in Raystation etc
Evaluate and validate Hitachi TPS
Build tools to integrate software from different vendors
- Bachelor's degree in Biomedical Engineering, Electrical Engineering, Physics, Applied Mathematics or related field.
PhD degree in Bioinformatics, Statistics, Biology, Computer Science or related field.
Five years of experience in scientific software development/analysis.
With preferred degree, three years experience required.
Work experience in the new dose calculation methods and optimization methods.
Expert in high performance computing, large database design.
Able to design algorithm using the deep learning method.
Experience in pattern recognition/machine learning, mathematical/statistical modeling, network analysis
Data integration, data mining, NGS data analysis (mutations, structural variations, and expression).
Proficiency in at least one programming language such as R, C/C++, Perl, Python, or JAVA.
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
Requisition ID: 128963
Employment Status: Full-Time
Employee Status: Regular
FLSA: exempt and eligible for additional compensation for hours worked beyond your usual schedule, paid at a straight rate
Work Week: Days
Fund Type: Hard
Pivotal Position: Yes
Minimum Salary: US Dollar (USD) 78,800
Midpoint Salary: US Dollar (USD) 98,500
Maximum Salary : US Dollar (USD) 118,200
Science Jobs: Yes