Data Scientist - Digital Pathology
- Requisition #: 170538
- Department: Translational Molecular Path
- Location: Houston, TX
- Posted Date: 1/15/2025
The ideal candidate will have digital pathology experience.
JOB SPECIFIC COMPETENCIES
Develop impact-driven AI technologies for pathology
Develop 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.
Other Other duties as assigned
Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience required. 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
#LI-Hybrid
JOB SPECIFIC COMPETENCIES
Develop impact-driven AI technologies for pathology
Develop 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.
Other Other duties as assigned
Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience required. 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: 170538
- Employment Status: Full-Time
- Employee Status: Regular
- Work Week: Days
- Minimum Salary: US Dollar (USD) 103,000
- Midpoint Salary: US Dollar (USD) 129,000
- Maximum Salary : US Dollar (USD) 155,000
- FLSA: exempt and not eligible for overtime pay
- Fund Type: Soft
- Work Location: Hybrid Onsite/Remote
- Pivotal Position: Yes
- Referral Bonus Available?: Yes
- Relocation Assistance Available?: Yes
- Science Jobs: No
#LI-Hybrid
