Summary

The Exchange Visitor will join a dynamic bioinformatics group within a high throughput sequencing lab. The position offers an opportunity to gain hands-on experience and contribute to cutting-edge research projects involving genomic data analysis and the application of bioinformatics tools and pipelines. The position offers the opportunity to engage in cutting-edge research that leverages the latest advances in next-generation sequencing (NGS) and long-read technologies. The successful candidate will assist in improving quality assessments, detection, and annotation of structural variations while extending the research to detect and analyze infectious diseases.

Job Duties

• Assistsin analyzing and processing high-throughput sequencing data to detect and characterize genomic variations, including structural variations (SVs).
• Contributes to the development and application of bioinformatics tools for visualizing genomic variations and their impact on genes and proteins.
• Supports the enhancement of structural variation detection and annotation pipelines using NGS and long-read sequencing technologies.
• Participates in bioinformatics analysis for infectious disease genomics, including pathogen detection and resistance analysis.
• Collaborates with team members on ongoing research projects, contributing to data interpretation and scientific discussions.
• Documents data analysis methods, assist in preparing reports, and support manuscript development for publication.

Minimum Qualifications

• Required: Exchange Visitor Visa (J1).
• Alien with a residence in a foreign country whose intent is to return to their home country.
• Selected by exchange visitor program sponsor to participate in the exchange visitor program.
• Intent is to pursue appropriate activity.
• Must have sufficient funding and appropriate background for program activity.
• Must meet minimum objective measurement requirements set by Baylor College of Medicine establishing English proficiency.
  

Preferred Qualifications

• Bachelor's or Master's degree (or equivalent) in Bioinformatics, Computational Biology, Genetics, Genomics, or a related field.Familiarity with genomic data analysis, particularly next-generation sequencing (NGS) and structural variation detection, is preferred.Coursework or hands-on experience in bioinformatics tools, data analysis programming (e.g., Python, R, or Bash), and genomic databases is desirable.