About this role
- Summary 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.
- Job Duties 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.
Minimum Qualifications
- MD or Ph.D. in Basic Science, Health Science, or a related field.
- No experience required.
Preferred Qualifications
- Ph.D. or equivalent doctoral degree in biomedical sciences, biology, cardiovascular sciences, data science, or a related field.
- Experience with single-cell genomics, spatial genomics, transcriptomics, epigenomics, and/or multi-omics data analysis.
- Proficiency in R and/or Python and experience with bioinformatics workflows, statistical analysis, and large-scale genomic datasets is desired.
- Knowledge of cardiovascular biology, molecular biology, or immunology is desirable.
- Strong scientific communication, analytical, and collaborative skills is a plus.