University of Texas MD Anderson Cancer Center
Imaging Data Scientist - Digital Pathology
University of Texas MD Anderson Cancer Center, Houston, Texas, United States, 77246
MIN: $103,000 MID: $129,000 MAX: $155,000
The ideal candidate will have at least 1 year of computational pathology experience.
SUMMARYThe University of Texas MD Anderson Cancer Center (MDACC) is the #1 cancer center in the U.S. and a leader in cancer research and innovation through our devotion to improving the care of cancer patients. This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies. The IDSO embodies a data-centric culture, pushing the envelope of modern care and venturing into uncharted territories of cancer research and treatment. It is home to a vibrant team of data scientists committed to unraveling complex cancer challenges, reducing time between diagnosis and treatment decisions, and accelerating drug discovery.
MDACC is recruiting Data Scientists for its newly established Computational Pathology program. This program aims to distil meaningful insights from the extensive resources and data available at MD Anderson, particularly from cancer pathology that is currently benefiting from a digital revolution. Automated, unbiased sample selection and scalable study design will immediately facilitate deep spatial investigations in landmark MD Anderson programs, including APOLLO and Patient MOSAIC, to direct novel data analysis, enable translational studies, and generate clinical impact.
MDACC provides the ideal environment for developing, testing, and deploying AI technologies for improved early cancer diagnosis and accurate treatment selection. The Computational Pathology program is a key focus area of the IDSO and supports the IDSO's mission to drive high-impact discovery research by optimizing multidimensional data integration, analysis, and application.
JOB SPECIFIC COMPETENCIESDevelop impact-driven AI technologies for pathologyDevelop and maintain computational methods using deep learning for pathological image processing.Work with a high interdisciplinary team to generate biologically meaningful results and work towards clinical implementation of AI technology for oncology.Develop key performance metrics to demonstrate image processing accuracy.Keep current and evaluate state-of-the-art methods and tools, establish and help maintain computational infrastructure and analytic pipelines.Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning.Present results in collaboration meetings, internal and external conferences.Prioritize and manage multiple projects in a timely and resource efficient manner.Organize and provide up-to-date documentation for data and code, and help write scientific publications and reports.
OtherOther duties as assigned.
REQUIREMENTSEducation Required:
Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Education Preferred:
Master's or Ph.D.
Experience Required:
Three years experience in scientific software development/analysis.
Experience Preferred:
With Master's degree, one years experience required. With Ph.D., no experience required. At least 1 year of computational pathology experience.
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.
Additional Information
Requisition ID: 166339Employment Status: Full-TimeEmployee Status: RegularWork Week: DaysMinimum Salary: US Dollar (USD) 103,000Midpoint Salary: US Dollar (USD) 129,000Maximum Salary: US Dollar (USD) 155,000FLSA: exempt and not eligible for overtime payFund Type: SoftWork Location: Hybrid Onsite/RemotePivotal Position: YesReferral Bonus Available?: NoRelocation Assistance Available?: YesScience Jobs: Yes
#LI-Hybrid#J-18808-Ljbffr
The ideal candidate will have at least 1 year of computational pathology experience.
SUMMARYThe University of Texas MD Anderson Cancer Center (MDACC) is the #1 cancer center in the U.S. and a leader in cancer research and innovation through our devotion to improving the care of cancer patients. This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies. The IDSO embodies a data-centric culture, pushing the envelope of modern care and venturing into uncharted territories of cancer research and treatment. It is home to a vibrant team of data scientists committed to unraveling complex cancer challenges, reducing time between diagnosis and treatment decisions, and accelerating drug discovery.
MDACC is recruiting Data Scientists for its newly established Computational Pathology program. This program aims to distil meaningful insights from the extensive resources and data available at MD Anderson, particularly from cancer pathology that is currently benefiting from a digital revolution. Automated, unbiased sample selection and scalable study design will immediately facilitate deep spatial investigations in landmark MD Anderson programs, including APOLLO and Patient MOSAIC, to direct novel data analysis, enable translational studies, and generate clinical impact.
MDACC provides the ideal environment for developing, testing, and deploying AI technologies for improved early cancer diagnosis and accurate treatment selection. The Computational Pathology program is a key focus area of the IDSO and supports the IDSO's mission to drive high-impact discovery research by optimizing multidimensional data integration, analysis, and application.
JOB SPECIFIC COMPETENCIESDevelop impact-driven AI technologies for pathologyDevelop and maintain computational methods using deep learning for pathological image processing.Work with a high interdisciplinary team to generate biologically meaningful results and work towards clinical implementation of AI technology for oncology.Develop key performance metrics to demonstrate image processing accuracy.Keep current and evaluate state-of-the-art methods and tools, establish and help maintain computational infrastructure and analytic pipelines.Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning.Present results in collaboration meetings, internal and external conferences.Prioritize and manage multiple projects in a timely and resource efficient manner.Organize and provide up-to-date documentation for data and code, and help write scientific publications and reports.
OtherOther duties as assigned.
REQUIREMENTSEducation Required:
Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Education Preferred:
Master's or Ph.D.
Experience Required:
Three years experience in scientific software development/analysis.
Experience Preferred:
With Master's degree, one years experience required. With Ph.D., no experience required. At least 1 year of computational pathology experience.
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.
Additional Information
Requisition ID: 166339Employment Status: Full-TimeEmployee Status: RegularWork Week: DaysMinimum Salary: US Dollar (USD) 103,000Midpoint Salary: US Dollar (USD) 129,000Maximum Salary: US Dollar (USD) 155,000FLSA: exempt and not eligible for overtime payFund Type: SoftWork Location: Hybrid Onsite/RemotePivotal Position: YesReferral Bonus Available?: NoRelocation Assistance Available?: YesScience Jobs: Yes
#LI-Hybrid#J-18808-Ljbffr