Computational Biologist - AI Technologies

Qualifications

• 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 year's experience required

• With PhD, no experience required

Responsibilities

• This role involves developing and maintaining computational methods using deep learning for pathological image processing, generating biologically meaningful results, and working towards clinical implementation of AI technology for oncology

• Develop and maintain computational methods using deep learning for pathological image processing

• Work with a high interdisciplinary team to generate biologically meaningful results

• Develop key performance metrics to demonstrate image processing accuracy

• Evaluate state-of-the-art methods and tools, and establish and maintain computational infrastructure and analytic pipelines

• Design experiments to generate high quality data for machine learning

Full Description

The MD Anderson Cancer Center is committed to hiring a highly skilled computational biologist - ai technologies. The ideal candidate will have expertise in digital pathology, deep learning, and computational methods for image processing.

About the Job:

We are seeking a highly skilled specialist to develop impact-driven AI technologies for pathology.

This role involves developing and maintainingcomputational methods using deep learning for pathological image processing, generating biologically meaningful results, and working towards clinical implementation of AI technology for oncology.

Key Responsibilities:

• Develop and maintain computational methods using deep learning for pathological image processing.

• Work with a high interdisciplinary team to generate biologically meaningful results.

• Develop key performance metrics to demonstrate image processing accuracy.

• Evaluate state-of-the-art methods and tools, and establish and maintain computational infrastructure and analytic pipelines.

• Design experiments to generate high quality data for machine learning.

Requirements:

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 year's experience required.

With PhD, no experience required.