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POSTDOCTORAL FELLOW POSITIONS IN STATISTICAL GENOMICS AND COMPUTATIONAL BIOLOGY
Company Information
Located in the heart of New York City, the Icahn School of Medicine at Mount Sinai is an international leader in biomedical education, research, and patient care. It is the medical school for the Mount Sinai Health System, which includes eight hospital campuses. With over 7,000 faculty, 1,200 students, and 2,500 residents and fellows, we are propelled by cutting-edge technology, breakthrough research, and multidisciplinary teamwork. Our advances arise from a willingness to challenge conventional wisdom, and together we make big, bold bets, producing dramatically better outcomes for our patients.
A full-time postdoctoral fellow position is available at Xuran Wang's team.
The team of Xuran Wang, PhD, at the Seaver Autism Center for Research and Treatment in the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai in New York, is seeking an ambitious, creative, and motivated postdoctoral fellow with expertise in biostatistics/bioinformatics to study the single-cell transcriptomics and multi-omics data with a focus on method development for neuropsychiatric diseases, such as autism spectrum disorder (ASD).
Dr. Wang’s research interests sit at the intersection of statistical genomics, computational biology, and neuroscience. She was trained as a statistician and mathematician before diving into the genetics and genomics world. Wang’s lab is interested in statistical genetics and genomics, omics, multi-omics integration, gene regulatory networks, and spatial transcriptomics. We develop and apply advanced statistical, computational, and machine-learning methods to analyze genomic, transcriptomic, and phenotypic data. Currently, Dr. Wang’s lab focuses on method development for single-cell CRISPR data and spatial transcriptomics data.
To learn more about our scientific interests and publication records, please visit the website: https://xuranw.github.io/.
Basic Qualifications:
• PhD in Statistics, Biostatistics, Bioinformatics, Computational Biology, Applied Mathematics or equivalent quantitative field.
• Demonstrated expertise in programming, with fluency of R, Python, or equivalent.
• Strong record of publications in peer-reviewed journals.
• Great Communication skills.
• Ability to work in an interdisciplinary team.
Preferred Qualifications:
• Research experience in genetics, genomics, and psychiatric disorders data.