Bioinformatics Analyst I

Summary

Dr. Fazal is seeking a Bioinformatics Analyst I 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 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

Visit the BCM website (https://www.bcm.edu/people-search/furqan-fazal-72901) for more information about our lab.

Job Duties

Under the general direction of the principal investigator, this position will be responsible for the following:
– Running and validating RNA-seq/CLIP-seq pipelines.
– Downloading and analyzing publicly-available genomic datasets.
– Writing custom scripts to perform desired tasks.
– Reviewing existing variation and proposing improvements.
– Using various computational analyses and biological interpretation of results to review existing data and propose improvements.
– Collaborating with postdoctoral fellows and graduate students to define software and analysis requirements and implement desired specifications.
– Executing analysis using existing software tools.
– Designing and coding new systems and/or modifications as needed.
– Tracking project data and report analysis results.
– Communicating effectively with team members in both computational and experimental biology areas.

Minimum Qualifications

• Bachelor’s degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
• No experience required.

Preferred Qualifications

M.S. in Biology.
Experience with analysis of next-generation sequencing (NGS) data, including read quality assessment, mapping to genomic sequence, and quantification of mapped reads.
– Strong verbal and written communication skills.
– Strong organizational skills, prioritization skills, time management skills, and attention to detail.