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Strong employer brand and metro location increase competition but role is niche and senior.
Highly domain-specific NGS and computational biology expertise limits cross-industry transferability.
Explicit senior experience bands and domain-specific NGS algorithm expertise make filters strict.
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Develop and optimize computational algorithms for next-generation sequencing (NGS) data analysis, including variant calling, clustering, immune repertoire analysis, assembly, and sequence classification.
Design, benchmark, and implement scalable and interpretable NGS workflows to improve accuracy and biological insight.
Collaborate cross-functionally with bioinformatics scientists, software engineers, data scientists, and laboratory scientists to translate experimental and assay needs into computational solutions.
PhD with 6+ years relevant experience OR Master’s degree with 8+ years OR Bachelor’s degree with 10+ years of directly related experience.
Experience in developing computational methods for NGS or high-throughput biological data analysis including variant calling and immune repertoire analysis.
Strong understanding of short-read and long-read sequencing technologies and data analysis implications.
Experience benchmarking bioinformatic algorithms using statistical, technical, and biological metrics.
Experienced computational scientist with demonstrated expertise in NGS algorithm development and validation.
Familiarity with large molecule discovery workflows such as antibody discovery or protein engineering to bridge bioinformatics with wet-lab requirements.
Proven ability to communicate complex analytical results effectively to scientific and technical audiences, and adept at collaborative cross-disciplinary problem solving.