Postdoctoral Associate- Cardiac Arrythmia Research

Summary

Dr. Mihail Chelu’s lab is seeking a Postdoctoral Associate to work on an NIH-funded project. The Chelu Lab integrates mouse models, human tissue, stem cell models, and single-cell multi-omics to advance precision medicine. We place a particular emphasis on understanding mechanisms of cardiac arrhythmias to identify more effective and targeted therapies. We apply cutting-edge technologies in our research and are dedicated to mentoring the next generation of scientists.

The postdoctoral fellow will lead innovative research projects focused on studying the molecular mechanisms of arrhythmias with emphasis on conduction system diseases. To identify these pathways, the postdoctoral fellow will use mouse models for different diseases, human tissue, human iPSC-derived pacemaker-like cells and cutting-edge approaches, including single-cell RNA-sequencing, calcium imaging, and electrophysiology assays.

Job Duties

• Plans and conducts experiments, analyzes data, and prepares publications describing results.
• Helps in training and mentoring of lab personnel, including graduate and undergraduate students.
• Maintains good communication with lab leader and members.
• Reads and evaluates literature.
• Attends scientific networking workshops/conferences.
• Write grants for extramural funding with the assistance of a faculty mentoring team.

Minimum Qualifications

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

Preferred Qualifications

• Prior experience in cardiovascular research.
• Single-cell RNA-sequencing experience.
• Experience with mouse work.
• Experience with stem cell culture, flow cytometry, microscopy, and electrophysiology.
• Implements and analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, and Metabolomics generated from mouse and patient cohorts with rich clinical data - Advanced modeling of arrhythmias using generalized linear models and machine learning.
• Experience with R or Python.
• Experience with ML and AI.

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