Computational Biologist (Cancer Detection)

TL;DR

Computational Biologist (NGS/Cancer Detection): Developing and analyzing molecular and clinical data workflows for early, noninvasive cancer detection using cfDNA biomarkers with an accent on NGS assay development, bioinformatics pipelines, and statistical analysis. Focus on designing research studies, evaluating assay performance, and building high-throughput computational workflows for prototype diagnostic products.

Location: Remote or hybrid within the United States

Salary: $131,325–$189,525 base salary, plus equity, cash bonuses, and benefits.

Company

hirify.global develops noninvasive diagnostic products 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 execute studies to improve computational models and molecular assays.
• Build bioinformatics pipelines for high-throughput NGS data processing and analysis.
• Assess assay performance, quality control, and clinical or diagnostic utility in collaboration with wet-lab scientists.
• Collaborate cross-functionally with Molecular R&D, Model R&D, and Computational Biology teams.
• Advance molecular assay development by applying current oncology and molecular biology techniques.

Requirements

• PhD in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field.
• Experience developing NGS assays and computational pipelines for complex, high-throughput data workflows.
• Strong quantitative reasoning and data analysis skills applied to scientific problems.
• Advanced programming experience with Python statistical packages such as NumPy, Matplotlib, and Pandas, or equivalent experience in R or another language.
• Excellent written and verbal communication skills for scientific and broader audiences.
• Ability to collaborate with computational and experimental scientists in a cross-functional environment.

Nice to have

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

Culture & Benefits

• Collaborative, multidisciplinary environment spanning computational and experimental research.
• Opportunity to contribute to early-stage cancer detection products and next-generation molecular assays.
• Remote or hybrid work options.
• Equity, cash bonuses, and a range of medical and financial benefits.