Senior NGS Algorithm Developer
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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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