Staff Computational Biologist (NGS)

Location: Remote or hybrid within the United States

Salary: $188,275–$270,375 base salary, plus equity, cash bonuses, and benefits.

Company

hirify.global develops diagnostic products and noninvasive tests for the early detection of cancer.

What you will do

• Lead the analysis and interpretation of molecular and clinical data for early cancer detection.
• Develop research hypotheses and own computational and assay improvement projects from ideation through implementation.
• Build bioinformatics pipelines for high-throughput NGS data processing and analysis.
• Assess assay performance, quality control, and clinical utility in collaboration with wet-lab scientists.
• Collaborate cross-functionally with Molecular R&D, Model R&D, and Computational Biology Assay Development teams.

Requirements

• PhD in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field.
• 6+ years of scientific industry experience applying computational techniques to biological discovery and product development.
• Extensive experience developing NGS assays and complex high-throughput NGS processing workflows.
• Strong quantitative reasoning, data analysis, computational, and programming skills.
• Thorough experience with Python statistical packages such as NumPy, Matplotlib, and Pandas, or equivalent R experience.
• Strong scientific communication and cross-functional collaboration skills.

Nice to have

• Expertise in chromatin biology, liquid biopsy, and DNA methylation in cancer early detection.
• Experience using DNA methylation data for biomarker discovery.
• Experience developing, applying, and evaluating statistical or machine learning algorithms.

Culture & Benefits

• Collaborative environment involving computational, experimental, molecular research, and model development scientists.
• Opportunity to contribute to next-generation cancer detection assays and diagnostic products.
• Medical, financial, and other employee benefits.
• Equity and cash bonus eligibility.
• Remote or hybrid work arrangement.