Research Associate 2
Core
Full-time research associate supporting wet-lab experiments and computational analysis of multi-omics datasets in cancer biology.
Role type
Research Associate 2 (Wet-lab & Bioinformatics)
Builds
Research publications, grant proposals, and multi-omics data analysis pipelines.
Domain
Academic Medicine / Cancer Biology / Bioinformatics
Deliverable
production ML models | research | client delivery
Required skills
wet-lab techniques (library prep, histology, PCR, flow cytometry), high-throughput sequencing analysis (RNA-seq, scRNA-seq, spatial transcriptomics), statistical modeling, machine learning, data visualization, grant writing
Preferred skills
R, Python, GitHub, multi-omics dataset analysis
Technologies
R, Python, GitHub
Responsibilities
Perform specialized and complex experiments/studies; analyze high-throughput sequencing datasets using statistical modeling and machine learning; collaborate with data scientists and biologists to identify gene regulatory networks; assist with wet-lab techniques and document workflows; write extramural grants/proposals; collect, prepare, and analyze specimens and tissue cultures.
Seniority
Mid-level, hands-on IC
