Director, Genomics & ctDNA Bioinformatics
Core
Lead bioinformatics strategy and hands-on analysis for genomic and ctDNA biomarker studies to support oncology drug development and translational research.
Role type
Director, Genomics & ctDNA Bioinformatics
Builds
Reproducible genomic analysis workflows, predictive models, and scalable analytical tools for ctDNA quantification and variant detection.
Domain
Oncology, Genomics, Computational Biology, AI/ML in Biomedicine
Deliverable
production ML models
Required skills
Next-generation sequencing data analysis, variant detection, copy-number analysis, statistical modeling, Python, R, benchmarking study design, data integration, machine learning/AI implementation, scientific leadership
Preferred skills
Liquid biopsy/ctDNA analysis, low-frequency variant detection, somatic variant calling, error suppression, multimodal data modeling, oncology biomarker development
Technologies
Python, R, Next-Generation Sequencing (NGS)
Responsibilities
Lead bioinformatics strategy for genomic and ctDNA studies; develop reproducible workflows for sequencing QC and variant calling; design benchmarking studies for assay and pipeline validation; build statistical and predictive models integrating genomic and clinical data; define analysis plans and validation criteria; evaluate and implement AI/ML methods for genomic interpretation.
Seniority
Director, strategic leadership with hands-on technical execution