Important Info
Please email your application materials to kimjb@stanford.edu
**Note:** Applications will be reviewed on a rolling basis, and the position will remain open until filled.
The CLEAN Lab at Stanford University is seeking a highly motivated and talented Postdoctoral Scholar to join our dynamic research team. The CLEAN Lab focuses on investigating the mechanisms underlying environmental toxicant-induced cardiovascular diseases and gene-environment interactions, with a specific emphasis on identifying modifiers of response to known toxicants leading to vascular diseases such as coronary artery disease. The successful candidate will contribute to a funded project aimed at uncovering the drivers of gene-environment interactions.
**Responsibilities:**
1. Conduct cutting-edge research in environmental cardiovascular genomics, with a focus on identifying mechanisms and modifiers of response to toxicants such as tobacco, vaping, and air pollution.
2. Analyze and interpret large genomic datasets, including bulk-RNA and DNA sequencing, single-cell sequencing (RNA, ATAC), and whole genome sequencing datasets.
3. Actively develop and maintain a dosimetry and toxicology program and workflow for the lab for in vitro and in vivo exposure systems.
4. Collaborate with interdisciplinary teams within the CLEAN Lab and across Stanford University.
5. Contribute to manuscript preparation and submission to peer-reviewed journals.
6. Present research findings at scientific conferences and meetings.
*Join us in unraveling the genomic mysteries of environmental cardiovascular diseases and making a lasting impact on public health!*
1. Ph.D. in a relevant field (e.g., toxicology, genomics, bioinformatics, molecular biology).
2. Strong background in toxicology, with experience in environmental toxicants affecting cardiovascular health.
3. Proficiency in bioinformatics and programming for the analysis of large genomic datasets.
4. Experience in analyzing bulk-RNA and DNA sequencing, single-cell sequencing (RNA, ATAC), and whole genome sequencing datasets.
5. Demonstrated ability to work independently and collaboratively within a research team.
6. Excellent communication skills and a track record of scholarly publications.
**Preferred Qualifications:**
1. Familiarity with gene-environment interaction studies.
2. Previous experience with dosimetry and toxicology.
3. Knowledge of statistical methods for genomics data analysis.
Interested candidates should submit the following materials:
1. Curriculum vitae (CV)
2. Cover letter outlining research experience and interests
3. Contact information for three professional references
4. Representative publications (if available)