We are seeking a capable bioinformatics analyst to perform integrative analysis of ex vivo organoid models and in vivo models of responses to virus or microbial infection and drug or radiation treatments. The analysis will include bulk and single cell RNA transcriptomics, metabolomics and proteomics data generated by our group as well as accessing relevant publicly available datasets for comparisons. Will work on related microbiome projects and metagenomic datasets. Will include both deployment and development of state-of-the art analysis pipelines. The analyst will be responsible for deploying and utilizing data analysis pipelines written in Perl, Python and/or Bash, using Linux computer clusters with PBS and SLURM batch submission systems. Analyst will further incorporate advanced data science techniques such as deep learning and classification to identify potential disease drivers, biomarkers, and novel molecular profiles associated with disease and markers associated with mitigation of injury.
Deploys, adapts, runs and validates multiple omics analysis pipeline: metabolomics, proteomics, bulk and single cell RNA-Seq
Reviews existing multimodal omics signatures, publicly available datasets, propose and execute integrative analysis
Interprets results from similarity searches and integration of investigator and publicly available datasets
Ensures that multi-omics data analysis objectives are met as required by project or supervisor
Uses various computational analyses and biological interpretation of results to review existing data and propose improvements
Generates figures for presentations and publications
Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
One years of relevant experience.
Master’s or PhD degree in a related field and one year of experience
Experience with Perl, Python, R or other languages as well as job execution using LINUX clusters
Experience with NexGen data and ‘omics’ analyses
Should have demonstrated problem-solving ability, strong communication skills (verbal and written) and is expected to interact daily with a team of basic and physician scientists to help visualize and interpret analysis results
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care.
- Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective.
- Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve.
- Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.