We are seeking outstanding applicants for Postdoctoral positions to work at the intersection of machine learning, image processing and single cell/spatial omics under the supervision of Dr. Ken Chen in the Department of Bioinformatics and Computational Biology, in close collaboration with Translational Molecular Pathology. Develop data processing pipeline to support spatial omics data analysis with TMP-IL platform.
LEARNING OBJECTIVES
Application of machine learning, image processing into cancer research.
Collaboration with physician scientists and pathologists.
Publications and grant applications
Become an independent researcher and a team scientist.
ELIGIBILITY REQUIREMENTS
Ph.D. in Bioinformatics/Biostats, Math/Statistics/Physics, Computer Science/Engineering.
Experience analyzing and interpreting high-throughput data such as microscopy, histological/pathological images, gene expression, etc.
Experience developing and disseminating novel computational tools, particularly machine-learning and AI.
Proficient in programming languages such as Python, R, Java, Matlab, C/C++.
At least 2 first-author publications in peer reviewed journals.
POSITION INFORMATION
MD Anderson follows the NIH stipend levels as outlined by the Kirchstein - NRSA. This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience.
MD Anderson offers compensated trainees:
- Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week
- Group Dental, Vision, Life, AD&D and Disability coverage
- Paid Education Vacation and Sick Leave
- Paid institutional holidays, wellness leave, childcare leave and other paid leave programs
- Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
- Employer paid life, AD&D and an illness-related reduced salary pay program
- Health Savings Account and Dependent Care Reimbursement flexible spending accounts
- Fertility benefits
- State of Texas longevity pay
- Extensive wellness, fitness, employee health programs and employee resource groups