Postdoc: AI for Multimodal Pathology & Oncology

MD Anderson Cancer Center; Houston (TX); On-site; USD 64,000 - 76,000; Full time

Benefits offered by this job

Medical benefits

Dental insurance

Paid time off

Retirement benefits

Tuition benefits

Job summary

A leading cancer research center in Houston offers full-time postdoctoral fellow positions in computational pathology. Candidates should have a Ph.D. in relevant fields, strong computational skills, and proficiency in Python and PyTorch. The role includes developing AI frameworks for multimodal data, mentoring junior trainees, and publishing high-impact research. Salary ranges from $64,000 to $76,000, with excellent benefits. Offsite work arrangements are possible, subject to approval.

Qualifications

• Candidates with a Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, Biomedical data sciences or a related field are encouraged to apply.
• Strong publication background is necessary.
• Proven track record of journal publications and/or premier ML conferences.

Responsibilities

• Develop and apply state-of-the-art AI frameworks in vision/language/omics.
• Train candidates in communication, mentoring, and grant writing.
• Conduct research within ethical standards and comply with regulations.

Skills

Strong computational skills

Proficient in Python

Experience with PyTorch

Handling tissue image data

Large-scale GPU cluster experience

Open-source project engagement

Strong communication skills

Education

Ph.D. in Computer Science or related field

Job description

A leading cancer research center in Houston offers full-time postdoctoral fellow positions in computational pathology. Candidates should have a Ph.D. in relevant fields, strong computational skills, and proficiency in Python and PyTorch. The role includes developing AI frameworks for multimodal data, mentoring junior trainees, and publishing high-impact research. Salary ranges from $64,000 to $76,000, with excellent benefits. Offsite work arrangements are possible, subject to approval.