Postdoctoral Fellow, Cardiovascular Multi-Omics Epidemiology
Overview
You will own the molecular etiology of cardiovascular disease using multi-omics approaches in a collaborative setting at UTHealth Houston School of Public Health. Your work will analyze large-scale phenotypic, genomic, and multi-omic data from major cohorts like ARIC, CHARGE, TOPMed, and COMETS. You will lead research projects, discover novel biomarkers, and identify biological pathways. The Yu team focuses on cardiopulmonary disease and health disparities, offering a 1-year funded position with possible extension. This role stands out for its access to top-tier consortia and direct impact on minority health.
What You'll Do7
- 1Design and execute multi-omics studies to identify molecular biomarkers of cardiovascular disease.
- 2Analyze large-scale genomic, transcriptomic, and metabolomic datasets with R and Python.
- 3Lead genome-wide association studies and phenome-wide scans using Linux environments.
- 4Collaborate with cohort consortia to integrate multi-omics data across populations.
- 5Mentor graduate students in bioinformatics and genetic epidemiology techniques.
- 6Publish findings in high-impact journals and present at scientific conferences.
- 7Maintain meticulous records of experiments and data analyses for reproducibility.
Requirements7
- 1Doctoral degree in medicine, biostatistics, genetic epidemiology, bioinformatics, or related fields.
- 21+ year experience programming in Linux, R, and Python.
- 3Experience with large-scale biological datasets, multi-omics integration, or machine learning.
- 4Proven record of peer-reviewed publications in genetics or epidemiology.
- 5Strong oral and written communication skills for interdisciplinary collaboration.
- 6Ability to work independently and as part of a team in a fast-paced academic environment.
- 7Expertise in statistical analysis of genomic data using tools like PLINK or equivalent.
Salary Insight
Salary not disclosed in listing
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