Postdoctoral Associate – Zhang Lab, Carnegie Mellon University, USA

Postdoctoral Position in USA

Postdoctoral Associate – Zhang Lab: The Martin Zhang Group at Carnegie Mellon University seeks a highly skilled Postdoctoral Researcher in Computational Biology to spearhead the development of innovative computational methods in statistical genetics. The successful candidate will play a pivotal role in advancing our understanding of heritable diseases and complex traits through computational analysis.

Designation: Postdoctoral Research Associate

Research Area: Statistical Genetics, Computational Biology

Location: Pittsburgh, PA


  • PhD degree in Computer Science, Computational Biology, Electrical Engineering, Genetics, or related quantitative fields.
  • Strong publication record demonstrating original method development in statistical genetics or computational biology.
  • Experience in analyzing genetics data, such as GWAS, and/or single-cell genomics data is advantageous but not mandatory.

Job Description: The selected candidate will lead the development of novel computational methods with significant biological implications. The research primarily focuses on mapping genes and cellular contexts for heritable diseases and complex traits. Additionally, the candidate will engage in the application of deep learning techniques for the integrated analysis of multimodal genetics and genomics data. Key research interests include disease-relevant cellular contexts and genes, expression quantitative trait loci (eQTLs), single-cell genomics, and the genetic architecture of diseases and complex traits. The Zhang Lab has a strong publication record in prestigious journals such as Nature, Nature Genetics, and conferences including NeuRIPS, ICML, and RECOMB.

How to Apply: Interested candidates should submit a CV including a list of publications, along with the names and contact information of at least three references.

Last Date for Apply: Rolling application process until the position is filled.

Carnegie Mellon University is committed to equal employment opportunities. Applicants will be evaluated without regard to race, color, religion, sex, national origin, protected veteran status, or disability.



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