Bioinformatics Analyst I - Houston, United States - Baylor College of Medicine

Baylor College of Medicine

Verified Company

Houston, United States

4 days ago

Posted by:

Mark Lane

beBee recruiter

Description

Summary:

- 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 201
RNA Structure Maps Across Mammalian Cellular Compartments. NSMB 201
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

Job Duties:

Runs, executes and validates RNAseq/CLIPseq pipelines.
Downloads and analyzes publiclyavailable 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.

Minimum Qualifications:

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

Preferred Qualifications:

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 nextgeneration 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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