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Senior NGS Algorithm Developer

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Location: Remote
Compensation: To Be Discussed
Reviewed: Fri, Nov 13, 2026
This job expires in: 30 days

Job Summary

Leading the design and optimization of computational algorithms for next-generation sequencing (NGS) data, the full-time Senior NGS Algorithm Developer will implement scalable algorithms for genomic feature detection and collaborate cross-functionally to ensure analytical accuracy and robustness in a remote environment.

Key Responsibilities
  • Lead the design, optimization, and implementation of scalable NGS algorithms and pipelines for complex genomic feature detection
  • Drive the development, validation, and integration of targeted NGS panels and analysis pipelines
  • Collaborate with assay scientists and bioinformatics teams to translate biological requirements into computational solutions
Required Qualifications
  • Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline
  • Minimum 5 years of experience in NGS algorithm development
  • Proficiency in Python, R, C++, and workflow orchestration tools
  • Deep understanding of read alignment and variant calling for germline or somatic variants
  • Experience with long-read technologies and signal-level data

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