Join us!

Postdoc and Student Positions in Single-Cell & Spatial -omics

Multiple positions are available Ma Lab in the Dept. of Genetics and Genomic Sciences at Icahn School of Medicine at Mount Sinai in the heart of Manhattan, NYC. Come and join us! 

Prospective student: Interested students please directly contact Dr.Ma for rotation.

A joint Postdoctoral Fellow position is available in the Ma Lab (https://saimalab.com) in the Department of Genetics and Genomic Sciences and Wu Lab in the Department of Neuroscience (https://www.wulab.bio) at Icahn School of Medicine at Mount Sinai in the heart of New York City. 

What We Do

Ma Lab focuses on innovating experimental and computational tools to investigate epigenetic mechanisms of gene regulation in single-cells across dynamic cell fate transitions. Wu Lab studies the neural basis of decision-making and social behavior. For this position, we seek to leverage cutting-edge spatial technologies and mouse behavior models to gain deep insights of the genetic and epigenetic driver underlying cognition and behavior.

More specifically, Ma Lab is keen on developing experimental sequencing tools—SHARE-seq, MID-RRBS, and SurfaceChIP-seq —to profile the epigenomes and transcriptomes within rare populations, single-cells or in situ (Cell 2020/2023; Sci. Adv. 2018; Nat. Biomed. Eng. 2018; Nature 2022). We also build computational workflows (Nature Commun. 2020; Cell 2020; Nat. Methods 2020) and apply these tools to investigate cell fate determination (Nat. Neurosci. 2022; Nature 2021/2020). We will use these cutting-edge methodologies to study how molecularly-defined cell types contribute to the neural dynamics supporting cognition. Combining the expertise of two labs, this exciting new project will forge new links between multi-omics, neural representation, and behavior.  

More specifically, we are keen on developing experimental sequencing tools—SHARE-seq, MID-RRBS, SurfaceChIP-seq, and Spatial-ATAC-seq—to profile the epigenomes and transcriptomes within rare populations, single-cells or in situ (Cell 2023; Nature 2022; Cell 2020; Sci. Adv. 2018; Nat. Biomed. Eng. 2018). We also build computational workflows (Nature Commun. 2020; Cell 2020; Nature Methods 2020) and apply these tools to investigate cell fate determination (Nat. Neurosci. 2022) and perturbed cell states (Nature 2021; Nature 2020), such as tumor progression (Cancer Discovery 2021; Cancer Cell 2020).

Your Qualifications

Applicants should have a recent PhD or MD/PhD in biology, neuroscience, genetics, genomics, bioengineering, biomedical engineering, computational biology, or related field. Candidates with experimental background is preferred. A computational background is not required but is highly recommended. He/she is expected to work independently and communicate with colleagues with varying expertise. 

Instructions

Applicants who are interested in this position should email 1) a brief summary of research interests 2) a CV, including a complete list of publications, 3) names and contact information of three references to Dr. Ma (sai.ma2@mssm.edu) and Dr. Wu (zheng.wu@mssm.edu). We look forward to seeing you in NYC!

Life at Mount Sinai

Mount Sinai offers an exciting research environment that is highly collaborative and has world-class shared research facilities. Mount Sinai is recently ranked #11 in the Best Medical Schools by US news. The Genetics Department ranked #2 in the country in NIH funding in genetics research in 2021.

We offer a competitive salary according to your qualifications. Our comprehensive benefits package includes medical, dental, and vision coverage, complemented by paid time off, parental leave, and relocation and visa reimbursements. Additionally, newly appointed Postdoctoral Fellows benefit from guaranteed, school-subsidized housing conveniently located within walking distance of the labs. We provide opportunities to attend national and international conferences, along with various fellowship opportunities. We are committed to supporting your growth and success in our dynamic research environment. We are committed to building a supportive and collaborative training environment and supporting your growth as an independent scientist.