Postdoctoral Fellow-MSH-13400-339

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 a motivated, creative, and dynamic 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 bridges statistical genomics, computational biology, and neuroscience. The lab is committed to developing and applying advanced statistical, computational, and machine-learning methods to decode genomic, transcriptomic, and phenotypic data. Current projects include methodological advancements for single-cell CRISPR data and spatial transcriptomics.

For more about our scientific interests and publications, please visit Dr. Wang’s Research page: https://xuranw.github.io/.

• Term: 1-year initial appointment starting January 1, 2025, with a strong preference for renewal up to an additional 1-2 years, contingent upon performance and availability of funding.
• Location: Icahn School of Medicine at Mount Sinai, 1399 Park Avenue, Manhattan, New York. 

Preferred Qualifications:

• Experience in genetics, genomics, and psychiatric disorder data analysis. 

Research Opportunities:

• Conduct cutting-edge research with a strong translational impact on neurodevelopmental disorders.
• Learn and conduct research with novel statistical and computational algorithms.
• Engage with the vibrant and exciting research community of the Seaver Center and the Icahn School of Medicine at Mount Sinai.

Application Process:

Please send a cover letter detailing your research interests, CV, and contact information for three references to Dr. Wang at xuran.wang@mssm.edu

Qualifications:

• PhD in Statistics, Biostatistics, Bioinformatics, Computational Biology, Applied Mathematics, or equivalent quantitative field. 
• Demonstrated programming expertise (R, Python, etc.).
• Strong record of publications in peer-reviewed journals.
• Excellent Communication skills.
• Ability to collaborate in an interdisciplinary setting.

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