Lead Bioinformatics Scientist (Genomics)

TL;DR

Lead Bioinformatics Scientist (Genomics): Driving the design and implementation of advanced computational methods and analytical pipelines for clinical-grade genomic analysis with an accent on variant prioritization, computational genomics, and multi-omics integration. Focus on leading R&D initiatives from concept through validation, developing scalable algorithms, and ensuring compliance with clinical laboratory standards.

Location: Must be based in the United States

Company

hirify.global is a leader in precision medicine, advancing clinical diagnostics through innovative genomic research and data science.

What you will do

• Lead the development and optimization of secondary and tertiary genomic analysis pipelines.
• Design and validate computational models for variant classification and pathogenicity prediction.
• Integrate multi-omics, phenotypic, and clinical datasets to enhance diagnostic yield.
• Collaborate with clinical geneticists and software engineers to deploy production-ready tools.
• Ensure computational reproducibility and scalability using CI/CD best practices.
• Contribute to the strategic bioinformatics roadmap and scientific publications.

Requirements

• Must be based in the United States
• Master's or PhD in Bioinformatics, Computational Biology, Genomics, or related field.
• 8+ years of professional experience in bioinformatics or computational genomics.
• 3-5 years of experience in a principal or leadership role.
• Proficiency in Python, R, and at least one compiled language (C/C++, Java).
• Experience with workflow orchestration tools (Nextflow, Snakemake) and cloud computing (AWS, Azure, GCP).

Nice to have

• Experience working in a clinical genomics or regulated diagnostic environment.
• Familiarity with machine learning frameworks like PyTorch or TensorFlow.
• Knowledge of multi-omics data integration techniques.

Culture & Benefits

• Opportunity to redefine clinical decision-making through precision medicine.
• Collaborative environment working with leading scientists and clinicians.
• Focus on innovation, quality, and patient-centered outcomes.
• Inclusive and diverse workplace culture.