Postdoc: Cancer Systems Biology & Data Science Fellow

Washington University in St. Louis; St. Louis (MO); Sur place; USD 52 000 - 65 000; Plein temps

Résumé du poste

Washington University in St. Louis invites applications for a postdoctoral position in the Cao Lab. The role focuses on understanding cancer etiology in younger adults through population science, mechanistic biology, and implementation science, leveraging multi-omics, AI, and big data analyses.

Ideal candidates will have a Ph.D. in molecular epidemiology, data science, cancer biology, or environmental sciences, and a strong track record in data analysis and scientific writing.

Qualifications

• Ph.D. or equivalent terminal degree required.
• No specific certifications or professional licenses required.
• No minimum work experience required.

Responsabilités

• Lead interdisciplinary research integrating large-scale population and clinical data with omics, biology, and AI.
• Design and execute studies from literature review to analysis and dissemination.
• Apply rigorous methods to complex data with reproducible workflows.
• Collaborate with cohort leaders, clinicians, biostatisticians, and data scientists across sites.
• Mentor graduate students and research assistants.

Connaissances

Collaboration

Data Analysis

Data Interpretations

Experimentation

Laboratory Operations

Laboratory Techniques

Researching

Results Reporting

Scientific Writing

Formation

Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree

Outils

R

Python

SAS

Description du poste

Washington University in St. Louis invites applications for a postdoctoral position in the Cao Lab. The role focuses on understanding cancer etiology in younger adults through population science, mechanistic biology, and implementation science, leveraging multi-omics, AI, and big data analyses.

Ideal candidates will have a Ph.D. in molecular epidemiology, data science, cancer biology, or environmental sciences, and a strong track record in data analysis and scientific writing.