Cancer Epidemiology Postdoc: RWD & AI Training

Baylor College of Medicine; Houston (TX); On-site; USD 57,000 - 70,000; Full time

Job summary

Baylor College of Medicine invites applications for a Postdoctoral Associate in Cancer Epidemiology, focusing on integrating classic epidemiology with real-world data and AI/NLP approaches for cancer research. The program involves collaboration with MD Anderson, Rice University, UTHealth, and other partners.

The role emphasizes training in epidemiology and bioinformatics, with opportunities to work on large-scale datasets and interdisciplinary projects in a highly collaborative environment.

Qualifications

• MD or PhD required; postdoctoral training focus in cancer epidemiology with real-world data.
• Experience with next-generation sequencing data analysis is a plus (RNA-seq, WGS/WES).
• Strong writing skills in English and ability to work in a team.

Responsibilities

• Analyze large biomedical and population health datasets.
• Analyze next generation sequencing data (RNA-seq, WGS/WES) to address research questions.
• Develop statistical methods and apply bioinformatic tools.
• Prepare manuscripts, abstracts, and conference presentations.

Skills

Team collaboration

NGS data analysis

Cancer biology knowledge

Excellent English writing

Education

MD or PhD in Basic Science, Health Science, or related field

Job description

Baylor College of Medicine invites applications for a Postdoctoral Associate in Cancer Epidemiology, focusing on integrating classic epidemiology with real-world data and AI/NLP approaches for cancer research. The program involves collaboration with MD Anderson, Rice University, UTHealth, and other partners.

The role emphasizes training in epidemiology and bioinformatics, with opportunities to work on large-scale datasets and interdisciplinary projects in a highly collaborative environment.