Genomic Epidemiology Postdoctoral Fellow

Brigham and Women's Hospital; Boston (MA); On-site; USD 72,000 - 79,000; Full time

Job summary

Brigham and Women's Hospital in Boston seeks a highly motivated postdoctoral fellow to join the Wohl Lab. The role focuses on developing and evaluating sampling strategies for pathogen genomic surveillance and collaborating with international stakeholders to analyze genomic data.

The Wohl lab applies genomic techniques to study evolution and spread of pathogens, aiming to account for sampling biases and empower local public health experts with sequencing and study-design expertise.

Qualifications

• Ph.D. in infectious disease epidemiology, computational biology, applied statistics or mathematics, or similar.
• Ideally, experience with transmission dynamics modeling of infectious diseases, pathogen genomics, bioinformatics, and/or applied statistics.

Responsibilities

• Develop, simulate, and evaluate genomic sampling and analysis strategies in collaboration with international partners.
• Engage with international stakeholders to identify priority pathogens and evaluate surveillance strategies.
• Leverage AI tools to build pathogen genomic datasets from public data and metadata.
• Guide the development of accessible tools for genomic surveillance program design.
• Support pathogen genomic analyses in public health settings.

Skills

Python

R

Genomic sequencing

Phylogenetic analysis

Statistics

Interdisciplinary collaboration

Education

PhD in infectious disease epidemiology, computational biology, applied statistics or mathematics

Tools

R scripting

Bioinformatics pipelines

Job description

Brigham and Women's Hospital in Boston seeks a highly motivated postdoctoral fellow to join the Wohl Lab. The role focuses on developing and evaluating sampling strategies for pathogen genomic surveillance and collaborating with international stakeholders to analyze genomic data.

The Wohl lab applies genomic techniques to study evolution and spread of pathogens, aiming to account for sampling biases and empower local public health experts with sequencing and study-design expertise.