Summary

The Sedlazeck Lab is seeking a highly motivated Staff Scientist with strong computational and algorithmic expertise to lead and support cutting-edge research in long-read genomics, tandem repeat (TR) analysis, and population-scale variant discovery. Our group develops novel methods and performs large-scale analyses across diverse cohorts, leveraging PacBio HiFi, Oxford Nanopore, and graph-based genome technologies.

Job Duties

• Develop, implement, and optimize algorithms and computational methods for structural variant (SV), tandem repeat (TR), and methylation analysis in long-read sequencing data.
• Lead population-scale analyses involving thousands of long-read genomes, including data QC, variant calling, benchmarking, and integration across platforms.
• Design and execute computational workflows for SV and TR discovery, merging, harmonization, and interpretation across large cohorts.
• Work independently to drive multiple concurrent projects, including collaborations with national and international consortia (e.g., All of Us, TOPMed, GREGoR). 
• Contribute to manuscript writing, grant applications, and presentation of results at internal and external meetings.
• Mentor trainees and support a collaborative, high-impact research environment. 
• Perform other job related duties as assigned.

Minimum Qualifications

• Doctoral Degree. Experience may not be substituted in lieu of degree.
• Three years of post doctoral research experience.