Sr Research and Development Scientist, Algorithm Developer

Location: Remote, United States

Company

hirify.global develops genetic testing products and computational solutions for genomic analysis.

What you will do

• Design, optimize, and implement scalable NGS algorithms and pipelines for SNVs, indels, CNVs, STRs, methylation, trisomy, pharmacogenomic variants, and complex genomic regions.
• Design and optimize targeted NGS panels for existing and new products.
• Develop, validate, benchmark, and integrate algorithms and analysis pipelines using internal and public truth sets.
• Translate biological and product requirements into computational solutions with assay scientists, bioinformatics teams, software engineers, and partner teams.
• Provide technical and project leadership focused on analytical accuracy, robustness, scalability, and continuous improvement.
• Support technology transfer, pipeline updates, production deployment, scientific publications, conference presentations, and intellectual property development.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline.
• At least 5 years of hands-on experience in NGS algorithm development.
• Proficiency in Python, R, C++, and workflow orchestration tools.
• Deep knowledge of read alignment, variant calling, CNV modeling, STR detection, methylation callers, homologous-region analysis, control-gene normalization, and pharmacogenomic variant interpretation.
• Experience with long-read technologies including ONT and PacBio, as well as signal-level data.
• Strong analytical, problem-solving, and communication skills.

Nice to have

• Experience with pharmacogenomics, including complex loci such as CYP2D6.
• Experience with Linux/HPC, Docker, Nextflow, GitHub-based software engineering, cloud platforms, CI/CD, and reproducible bioinformatics pipelines.
• Experience with machine learning models for variant classification.
• Knowledge of clinical genomics, regulatory standards, PharmGKB, and CPIC.

Culture & Benefits

• Remote work arrangement for the United States.
• Cross-functional collaboration across assay development, bioinformatics, software engineering, and partner teams.
• Work involves laboratory and office environments and may include occasional exposure to bloodborne or airborne pathogens or infectious materials.