Research Lab Technician II
Core
Integrative cross-platform analysis of genomic, epigenomic, and transcriptomic datasets using bioinformatics and statistical approaches to decipher how environmental exposures perturb the human genome, epigenome, and transcriptome.
Role type
Research Lab Technician II (Computational Bioinformatics)
Builds
Publication-ready figures, tables, and manuscripts for high-throughput molecular epidemiology and environmental health projects.
Domain
Bioinformatics / Computational Biology / Environmental Health
Deliverable
production ML models
Required skills
R, Python, Bioconductor, Unix/Linux command-line, Git/GitHub, multivariable regression, dimensionality reduction, HPC/Slurm
Preferred skills
WGBS, RNA-seq, miRNA-seq, ATAC-seq, WGS, WES, advanced statistical modeling
Technologies
R, Python, Bioconductor, Git, GitHub, Slurm, Unix/Linux
Responsibilities
Pre-process and analyze raw omics data using scalable bioinformatics pipelines; Execute workflows for linking genetic variation to epigenetic modifications and transcriptomic alterations; Implement advanced multivariable linear and non-linear regression models; Perform rigorous diagnostic validation on high-dimensional models; Transform large-scale omics outputs into publication-ready figures and tables.
Seniority
Mid-level, hands-on IC
