Postdoctoral Associate

Baylor College of Medicine

The Li Laboratory at the Texas Heart Institute at Baylor College of Medicine is seeking a Postdoctoral Associate to conduct research in single-cell and spatial genomics, bioinformatics, and cardiovascular biology. The position will focus on computational analysis and integration of large-scale single-cell, spatial, and multi-omics datasets to investigate cellular and molecular mechanisms of cardiovascular disease. The postdoctoral associate will develop and apply computational approaches, interpret biological findings, and contribute to manuscripts, presentations, and grant applications.

Key Responsibilities

• Designs and conducts computational studies using single-cell, spatial, and multi-omics datasets.
• Develops, implements, and optimizes bioinformatics methods for genomic data processing, integration, visualization, and interpretation.
• Performs statistical and computational analyses for multidisciplinary collaborative research projects.
• Conducts literature reviews and contributes to review and perspective articles.
• Develops new research directions that provide the foundation for external research funding, training fellowships, and independent career development awards.
• Leads manuscript preparation and publication of research findings.
• Presents and communicates research findings at national and international scientific conferences.
• Mentors junior laboratory members in computational biology and genomic analysis.
• Maintains documentation of data, code, analytical workflows, and other resources generated through research projects.
• Follows and contributes to updating laboratory standard procedures for data storage, management, and sharing.
• Participates in routine laboratory and departmental meetings and research activities.
• Contributes to shared laboratory responsibilities as needed.
• Performs other job-related duties as assigned.

Requirements & Tech Stack

• Experience with single-cell genomics, spatial genomics, transcriptomics, epigenomics, and/or multi-omics data analysis.
• Proficiency in R and/or Python.
• Experience with bioinformatics workflows, statistical analysis, and large-scale genomic datasets.
• Knowledge of cardiovascular biology, molecular biology, or immunology.
• Strong scientific communication, analytical, and collaborative skills.

Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• Ph.D. or equivalent doctoral degree in biomedical sciences, biology, cardiovascular sciences, data science, or a related field.