- Under close supervision, conducts research activities according to research protocol. Research activities will heavily focus on high-throughput bulk and single-cell multi-omic data (RNA-seq and ATAC-seq) in ocular tissues.
- Provides technical leadership and establishes protocols and guidelines for performing single-cell library generation, NGS sequencing, and data analysis.
- Designs, implements and operates bioinformatics pipelines using existing analytical tools for NGS applications.
- Ensures data quality control is constantly and consistently applied to incoming data sets.
- Creates reports of data quality and communicate these to computational staff.
- Summarizes, visualizes, and communicates research and analyses findings to the principal investigator.
- Collaborates with other bioinformaticians and lab researchers in project design, data analysis, interpretation, and reporting.
- Bachelor’s degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
- No experience required.
- Master’s degree in a related field.
- Strong computational background in science with the ability to code in Python and R.
- Previous experience in analyzing next-generation sequencing (NGS) data is a plus.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
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