Postdoctoral Fellow: Cancer Genomics & Single-Cell Analytics

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

Job summary

MD Anderson offers a full-time postdoctoral fellow position in the Bioinformatics & Computational Biology department. The fellow will develop computational (machine-learning) methods and models to analyze large-scale genomics and clinical data, with emphasis on single-cell and spatial omics to understand cancer etiology, evolution, and therapy response.

Applicants should have a doctorate in a quantitative field and a strong publication record; proficiency in programming (R, Python, MATLAB) and

Qualifications

• PhD in bioinformatics, computational biology, engineering, genomics, or related field.
• Strong publication record in reputable journals/conferences.
• Experience with AI and machine learning
• Proficient in programming and data analysis tools.

Responsibilities

• Develop computational (machine-learning) methods and models for cancer genomics and clinical data.
• Perform statistical analyses of large-scale genomics/clinical datasets (single-cell and spatial omics).
• Collaborate with multidisciplinary teams and supervise junior researchers.

Skills

Python

R

MATLAB

Machine learning

Statistical analysis

Big data

Education

PhD in a quantitative field

Tools

R

MATLAB

Job description

MD Anderson offers a full-time postdoctoral fellow position in the Bioinformatics & Computational Biology department. The fellow will develop computational (machine-learning) methods and models to analyze large-scale genomics and clinical data, with emphasis on single-cell and spatial omics to understand cancer etiology, evolution, and therapy response.

Applicants should have a doctorate in a quantitative field and a strong publication record; proficiency in programming (R, Python, MATLAB) and