R&D Scientist III, Algorithm Developer (Bioinformatics)

TL;DR

R&D Scientist III, Algorithm Developer (Bioinformatics): Developing and validating computational algorithms and analysis pipelines for NGS sequencing data with an accent on performance metrics and assay development. Focus on ensuring the accuracy and robustness of genomic analysis pipelines and documenting validation studies for regulatory needs.

Location: Remote (Must be based in the United States)

Company

hirify.global is a clinical genomics company focused on providing advanced genetic testing and diagnostics.

What you will do

• Perform in-depth analysis of NGS sequencing data to evaluate performance metrics and support assay development.
• Validate and verify computational algorithms used within NGS analysis pipelines.
• Support NGS panel design activities, including analytical assessment and quality considerations.
• Conduct end-to-end validation of NGS analysis pipelines to ensure accuracy, reproducibility, and robustness.
• Support quality assurance through data review, troubleshooting, and performance monitoring.
• Document analytical methods, validation studies, and pipeline updates in technical reports.

Requirements

• PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with 3+ years of relevant experience
• Must be based in the United States
• Hands-on experience with NGS data analysis and sequencing performance metrics.
• Proficiency in Python and/or R for data analysis and pipeline development.
• Experience validating computational algorithms or bioinformatics analysis pipelines.
• Strong analytical and documentation skills for a cross-functional R&D environment.

Nice to have

• Knowledge of clinical genomics applications, including NIPT or cancer genomics.
• Familiarity with pharmacogenomics (PGx) and complex variant analysis.
• Exposure to rare disease genomics and germline variant analysis.

Culture & Benefits

• Fully remote work arrangement.
• Collaborative cross-functional environment involving assay development, bioinformatics, and quality groups.
• Commitment to equal opportunity employment.