Bioinformatics Analyst
Core
Develop and run data analysis workflows for large-scale genomic and biomedical datasets to support research in rare disease, oncology, infectious disease, and neurology.
Role type
Bioinformatics Analyst (hands-on IC)
Builds
Reproducible computational pipelines and analysis-ready datasets for research collaborators
Domain
Biomedical research / Genomics / Next-generation sequencing
Deliverable
production ML models | dashboards & analysis
Required skills
Next-generation sequencing data analysis (WGS, WES, RNA-seq), Unix/Linux shell scripting, Python or R, variant detection and annotation, data quality control, workflow management tools (Nextflow, Snakemake, CWL, WDL), genomics file formats (FASTQ, BAM/CRAM, VCF, BED, GFF/GTF)
Preferred skills
Clinical or population-based genomic datasets, high-performance computing environments, ETL workflows and database management, statistical genetics, scientific visualization (R Shiny, Plotly, Dash)
Responsibilities
Process and analyze genomic and omics datasets including alignment, quality assessment, and variant detection; Develop, document, and maintain reproducible analysis pipelines; Implement data quality control measures and monitor run performance; Integrate and harmonize data from multiple sources; Execute exploratory analyses and generate reports, figures, and presentation materials; Contribute to the evaluation of new bioinformatics tools and algorithms; Collaborate on study design and analysis plans
Seniority
Mid-level, hands-on IC
