Bioinformatics Analyst I - RNA Genomics/Biology

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 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

• Runs, executes 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 proposes improvements.
• Tests bioinformatics tools and providing feedback. 
• Uses various computational analyses and biological interpretation of results to review existing data and propose improvements.
• Collaborates with postdoctoral fellows and graduate students to define software and analysis requirements and implements desired specifications.
• Executes and analyses using existing software tools.
• Designs and codes new systems and/or modifications as needed.
• Tracks project data, reports the analysis results.
• Communicates effectively with team members in both computational and experimental biology areas.

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

• Master's or Doctorate in basic science or 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.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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