Postdoctoral Associate
- Baylor College of Medicine
- Location: Houston, TX
- Job Number: 7306701 (Ref #: 21833-en_US)
- Posting Date: Newly posted
Job Description
Summary
Baylor College of Medicine has an opportunity for a Postdoctoral Research Associate position with a focus on identifying immune, inflammatory, metabolic, and epigenetic drivers of post-infectious morbidity and mortality. The study will evaluate how bacterial, viral and TB pneumonia induces inflammation, metabolic perturbations, and epigenetic scars, leading to post-infectious morbidity and mortality. Single cell technology will be implemented to identify drivers of post-infectious inflammation. Excellent applicants will need wet lab experience in immunology, flow cytometry, and or cellular metabolism, and should have a strong foundation in bioinformatic analysis. (Examples of previous work includes PMID 35169026, 35256539, 32125282).
The position is intended for life science graduates from Immunology or Microbiology backgrounds, however, a graduate with background in Computer Science or Computational Biology will also be considered. 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
- Implements measurements of inflammation, host immunity, and cellular metabolism from ex vivo PBMCs and plasma from patients recovering from pneumonia, HIV, or Tuberculosis.
- Implements in vitro organoid models reproducing infection induced immune pathology.
- Implements and analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, Metabolomics, and Lipidomics datasets, generated from pneumonia and tuberculosis cohorts with rich clinical data - Advanced modeling of post tuberculosis lung disease risk using generalized linear models and machine 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 R or Python).
- Excellent written and verbal English skills, strong communication and interpersonal skills, and be capable of working with large collaborative teams.
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.
