Bioinformatics Analyst II

Summary

The Therapeutic Innovation Center is embarking on a programmatic effort to advance drug discovery for RNA helicases in cancer. The center is seeking talented computational biologists to work in an interdisciplinary team environment on early therapeutic and drug discovery projects. As the center's key focus is on diseases of gene regulation, with an emphasis on cancer, this position will involve the analysis, interpretation, and visualization of genome-wide profiling including RNA-seq, ChIP-seq, and CLIP-seq data. In particular, this work will focus on developing innovative visualization and analysis tools. Candidates will be expected to develop R shiny web applications to enable exploration of complex molecular data for non-computational scientists.

Job Purpose

The Bioinformatics Analyst II will discover and analyze genomic variation in normal human and disease populations using bioinformatics and computational techniques and concepts.

Job Duties

• Develop and maintain bioinformatic pipelines.
• Develop and implement computational approaches for the analysis of NGS data.
• Visualize and clearly communicate (oral and written) analysis results to an interdisciplinary audience.
• Maintain a collaborative, collegial and respectful team environment.
• Annotate and maintain collaborative computational environments and code bases with an emphasis on reproducibility and rigor.
• Design and develop RStudio Shiny web applications to enable non-computational scientists to explore complex molecular data.Utilize R programming to extract insight from raw molecular data and provoke development of novel hypotheses.
• Design and develop data analysis, data visualization, dashboards, graphs and figures.
• Automate reporting and provide interactivity using R and Shiny.
  

Minimum Qualifications

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

Preferred Qualifications

• Master's degree in a related field.
• 3+ years of R programming experience.
• 1+ years of experience developing R shiny web applications.
• Expertise in R programming.
• Expertise in linux/unix based environments.
• Competency in multiple key areas including algorithms, statistics, data visualization, and high-throughput sequencing methodology.

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