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Postdoctoral Associate- Single- Cell and Data Science

Baylor College of Medicine (BCM)
Houston, Texas (US)
Per NIH Guidelines
Closing date
20 Apr 2024

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Job Type
Employment - Hours
Full time

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

  • 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. 

Minimum Qualifications

  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications

  • 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.



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

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