Bioinformatics Specialist Ii
Current- Develop robust R and Python scripts for data analysis, aggregating and exporting results to spreadsheets and dashboards to facilitate easier interpretation for non-technical users.- Leverage HPC and SLURM job managers to parallelize tasks, achieving near-linear reduction in CPU and decreasing processing time, ensuring quick turnaround and improved efficiency.- Contribute to end-to-end analysis of extensive biological datasets, from raw data cleaning to manuscript-ready visualization. Facilitate pipeline development and maintenance, ensuring streamlined data processing.- Conduct comprehensive analyses on next generation sequencing data (NGS) such as Spatial Transcriptomics, Single Cell Sequencing, RNA-Seq, SChIP-Seq, and shRNA.- Design and implement reusable analysis pipelines for ongoing research projects, streamlining workflow efficiency and enabling other researchers to conduct analyses as soon as data becomes available.Code Stack: R, Python (data analytics, visualization), SQL, and BASH (scripting).