Sr Research and Development Scientist, Algorithm Developer

TL;DR

Sr Research and Development Scientist, Algorithm Developer (NGS Algorithms): Lead the design, optimization, and implementation of computational algorithms and analysis pipelines for next-generation sequencing (NGS) data with an accent on detecting and interpreting genomic features such as SNVs/indels, CNVs, STRs, methylation, trisomy, and PGx variants. Focus on end-to-end development, validation, benchmarking, and integration of scalable, robust, and production-ready NGS workflows, including technology transfer and pipeline updates.

Company

hirify.global develops genomic solutions and technologies for clinical and research applications.

What you will do

• Design, optimize, and implement scalable NGS algorithms and pipelines for detection and interpretation of complex genomic features (SNVs/indels, CNVs, STRs, methylation, trisomy, PGx, homologous/homopolymer regions).
• Lead design and optimization of targeted NGS panels for existing and new products.
• Drive end-to-end development, validation, benchmarking, and integration of NGS algorithms and analysis pipelines using internal and public truth sets.
• Collaborate with assay scientists, bioinformatics teams, software engineers, and partners to translate biological and product requirements into computational solutions.
• Provide technical and project leadership to ensure analytical accuracy, robustness, scalability, and continuous improvement across products.
• Support technology transfer, pipeline updates, production deployment, and contribute to publications, presentations, and IP development.

Requirements

• Location: Remote work in the United States
• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline.
• Minimum 5 years of hands-on experience in NGS algorithm development.
• Proficiency in Python, R, C++, and workflow orchestration tools.
• Deep understanding of read alignment and variant calling (e.g., BWA-MEM, minimap2, GATK, DeepVariant) and of CNV modeling, STR detection, and methylation calling.
• Experience with long-read technologies (ONT, PacBio) and signal-level data.

Nice to have

• Pharmacogenomics (PGx) variant calling experience, including complex loci such as CYP2D6.
• Somatic variant calling experience using short-reads and/or long-reads.
• Experience with machine learning models for variant classification.
• Knowledge of clinical genomics and regulatory standards.
• Familiarity with pharmacogenomic databases (e.g., PharmGKB, CPIC).

Culture & Benefits

• Remote role with work performed across laboratory and office environments.
• Equal opportunity employer committed to building an inclusive and diverse workforce.
• Opportunity to contribute to scientific publications, conference presentations, and intellectual property.