Postdoc in liver genomics and bioinformatics

Icahn School of Medicine at Mount Sinai
Job Location
1470 Madison Ave
New York, NY 10029
Job Description

Postdoc in liver genomics and bioinformatics

We are seeking a highly qualified postdoc fellow experienced in bioinformatics/biostatistics methodologies and interested in their application for clinical outcome prediction, disease classification, and therapeutic target discovery in liver and other diseases. The candidate will work on variety of large-scale data derived from high-throughput genomics assays such as sequencing and microarray. There will be ample opportunities to publish via close daily interaction with experienced bioinformatics, cancer biology, and clinical experts at the Institute and numerous national and international collaborators. The lab is a part of the Tisch Cancer Institute in the newly launched beautiful Center for Science and Medicine building, housing cutting-edge research facilities and world-class scientists, located in Upper East Side of Manhattan.


1. Nakagawa, et al. Molecular liver cancer prevention in cirrhosis by organ transcriptome analysis and lysophosphatidic acid pathway inhibition. Cancer Cell. 30;879-890, 2016.
2. Goossens, et al. Cost-effectiveness of risk score-stratified hepatocellular carcinoma screening in patients with cirrhosis. Clin Transl Gastroenterol. 2017 Jun 22;8(6):e101.
3. Finkin, et al.  Ectopic lymphoid structures function as microniches for tumor progenitor cells in hepatocellular carcinoma. Nat Immunol. 2015 Dec;16(12):1235-44.
4. Hoshida, et al. Gene expression in fixed tissues and outcome in hepatocellular carcinoma. N Engl J Med. 2008 Nov 6;359(19):1995-2004.



- Highly motivated MD, PhD, MD/PhD or equivalent in Bioinformatics, Systems Biology, or other relevant areas.
- Experience of high-throughput genomic data analysis especially next-generation sequencing.
- Experience of biochemical techniques and high-throughput assays.
- Significant familiarity with standard machine learning and statistical modeling algorithms.
- Strong programing skills with a statistical computing language such as R and Matlab.
- Software engineering skills (Java, SQL, web application) are big plus.
- Quick learner of new technologies and analysis algorithms.
- Strong interpersonal skills and a track record of collaborative work in multidisciplinary research environment.

How to Apply

To apply, please e-mail CV, cover letter, and contact information of 3 references to:
Yujin Hoshida, MD, PhD
Associate Professor of Medicine
Department of Medicine, Tisch Cancer Institute
Graduate School of Biomedical Sciences
Icahn School of Medicine at Mount Sinai

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