Cancer Bioinformatician/Senior Analyst/Senior Computational Scientist
Core
Build and improve computational analysis platforms for high-sensitivity circulating tumor DNA (ctDNA) assay development and translational clinical research, focusing on NGS data processing, error suppression, and variant detection.
Role type
Senior IC bioinformatics lead (ctDNA/NGS)
Builds
Robust computational workflows for ultra-low allele fraction detection and MRD-related applications
Domain
Healthcare + Genomics (ctDNA, NGS)
Deliverable
production ML models
Required skills
ctDNA NGS data analysis, ultra-low VAF detection, MRD workflows, NGS fundamentals (alignment, variant calling, QC, annotation), Python, R, Linux/Unix, reproducible workflow implementation, version control
Preferred skills
error suppression, background error modeling, consensus approaches, sensitivity/specificity benchmarking, computational validation plan design, FFPE tumor tissue sequencing analysis, HIPAA-aligned compute environments, secure cloud environments (AWS/GCP/Azure), clinical genomics settings, mentoring analysts
Technologies
Python, R, Linux/Unix, AWS, GCP, Azure
Responsibilities
Develop and maintain computational workflows for ctDNA-focused targeted sequencing analyses; Implement robust quality control metrics and failure triage processes; Partner with wet-lab and clinical teams to align assay design and analytic outputs; Support study design discussions and interpretation of results for translational research; Mentor junior analysts and establish standards for analytic workflows
Seniority
Senior, hands-on IC with mentorship responsibilities
