Summary

Dr. Fazal is seeking a Bioinformatics Analyst II to develop and apply genomic analysis tools to identify cis- and trans- factors associated with RNA localization. The Fazal lab is a young laboratory focusing on systematically interrogating the subcellular transcriptomes of mammalian cells and characterizing the scope, regulation, and function of subcellular localization, particularly at the systems and organismal level. We use a variety of biochemical, biophysical, imaging, genomic and computational approaches to investigate the sequence-function relationship dictating RNA localization.

Recent relevant publications from the principal investigator that include:

• Atlas of Subcellular RNA Localization Revealed by APEX-seq. Cell 2019
• RNA Structure Maps Across Mammalian Cellular Compartments. NSMB 2019
• RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus. Cell Systems 2020
• Subcellular Spatial Transcriptomes: Emerging Frontier for Understanding Gene Regulation. CSHL Symposia of Quantitative Biology 2019

For more information : https://www.bcm.edu/people-search/furqan-fazal-72901

Job Duties

• Runs and validates RNA-seq/CLIP-seq pipelines.
• Downloads and analyzes publicly-available genomic datasets.
• Writes custom scripts to perform desired tasks.
• Reviews existing variation and propose improvements.
• Tests in-house bioinformatics tools and provides feedback to the software development team.
• Uses various computational analyses and biological interpretation of results to review existing data and propose improvements.

Minimum Qualifications

• Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
• One years of relevant experience.

Preferred Qualifications

• Bachelor's degree in CS, genetics, physics, biophysics or a related field.
• One year of relevant experience.
• M.S. or Ph.D. in Biology or in a related field. 
• Strong verbal and written communication skills.
• Strong organizational skills, prioritization skills, time management skills, and attention to detail.
• Experience with analysis of next-generation sequencing (NGS) data, including read quality assessment, mapping to genomic sequence, and quantification of mapped reads.