Computational Biologist
Core
Computational Biologist collaborating with scientists on complex data analysis projects involving experimental design, data processing, statistical analysis, and manuscript writing for single-cell genomics, spatial technologies, and other -omics data.
Role type
Senior IC computational biologist (genomics/bioinformatics)
Builds
Production bioinformatics workflows and analysis pipelines for biomedical research
Domain
Biomedical research / Genomics / -omics data analysis
Deliverable
production ML models
Required skills
Statistical modeling, R or Python, Unix/HPC environment, Git, -omics data analysis (single-cell, RNA-seq, WGS), biological interpretation, workflow management, containerization, agentic AI tools
Preferred skills
Publications, mentoring junior staff, conference presentation
Technologies
R, Python, Git, Unix, HPC, container technologies, workflow management systems, agentic AI tools (Claude Science)
Responsibilities
Design and execute computational analysis projects, perform quality control and statistical modeling on high-throughput datasets, create reusable workflows, prepare figures and manuscripts, contribute to experimental design, present research, and mentor students/staff
Seniority
Senior, hands-on IC