- Analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, Metabolomics, and Lipidomics datasets, generated from brains of HIV patient cohorts with rich clinical data.
- Conducts advanced modeling of cognitive ability scores using approaches that include generalized linear models and deep learning.
- MD or Ph.D. in Basic Science, Health Science, or a related field.
- No experience required.
- Experience in epigenetics or gene regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in Python).
- Candidates must have a Ph.D. in Computer Science, Bioinformatics, or biology, as well as a strong background in statistics, and familiarity with large data sets such as proteomics or sequencing.
- Must be highly proficient in spreadsheets and generating reports.
- Excellent communication skills is a plus.
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Postdoctoral Associate- Single- Cell and Data Science - Houston, United States - Baylor College of Medicine (BCM)
Description
The position is intended for Computer Science, Computational Biology, or life science graduates transitioning to a data science and bioinformatics career. The successful candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale datasets and data processing pipelines.
Job Duties
Minimum Qualifications
Preferred Qualifications
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
