A Postdoctoral position on Bioinformatics is available in the laboratory of Dr. Zhiguo Zhang at the Institute for Cancer Genetics, located in the Columbia University Irving Medical Center.

We are interested in epigenetic inheritance and cancer epigenetics. We are generating large amount omic-based data including RNA-Seq, CUT&RUN, eSPAN and MeDIP-Seq, genome wide CRISPR-Cas9 screens to address questions related to epigenetic inheritance and cancer epigenetics. We are seeking a highly motivated scientist with a strong background in Bioinformatic analysis who will analyze epigenomic datasets generated in the laboratory, and generate novel hypotheses via data analysis, and collaborate with other fellows in the laboratory to complete projects in a timely manner.

Zhang Lab and Research information can be found at: https://zgzhanglab-columbia.com

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1. Li Z, Duan S, Hua X, Xu X, Li Y, Menolfi D, Zhou H, Lu C, Zha S, Goff S, Zhang Z. Asymmetric distribution of parental H3K9me3 in S phase silences L1 elements (2023). Nature, 623:643?651.

2. Xu X, Duan S, Hua X, Li Z, He R, and Zhang Z. Stable inheritance of H3.3-containing nucleosomes during mitotic cell divisions (2022). Nature Communications, 13: 2514.

3. Mo Y, Duan S, Zhang X, Hua X, Zhou H, Wei HJ, Watanabe J, McQuillan N, Su Z, Gu W, Wu CC, Vakoc CR, Hashizume R, Chang K and Zhang Z. Epigenome programing by H3.3K27M mutation creates a dependence of pediatric glioma on SMARCA4 (2022). Cancer Discovery, 12:2906-2929.

4. Yu, C., Gan, H., Serra-Cardona, A., Zhang, L., Gan, S., Sharma, S., Johansson, E., Chabes, A., Xu, R.M., Zhang, Z. A mechanism for preventing asymmetric histone segregation onto replicating DNA strands (2018). Science, 361:1386-1389.

5. Zhang, L., Serra-Cardona, A., Zhou, H., Wang, M., Yang, N., Zhang, Z*. and Xu, R*. Multisite substrate recognition in Asf1-dependent acetylation of histone H3K56 by Rtt109 (2018). Cell 174, 174(4):818-830 

6. Fang D, Gan H, Lee J, Han J, Wang Z, Riester SM, Jin L, Chen J, Zhou H, Wang J, Zhang H, Yang N, Bradley EW, Ho TH, Rubin BP, Bridge JA, Thibodeau SN, Ordog T, Chen Y, van Wijnen AJ, Oliveira AM, Xu R, Westendorf JJ, Zhang Z (2016). The histone H3.3K36M mutation reprograms the epigenome of chondroblastomas. Science, 352: 1344-1348.

Highly motivated scientist with a strong background in Bioinformatic analysis who will analyze epigenomic datasets generated in the laboratory, and generate novel hypotheses via data analysis, and collaborate with other fellows in the laboratory to complete projects in a timely manner.

PhD in Computational Biology, Bioinformatics, Genetics, or equivalent. 

Demonstrated experience in genome sequencing data analysis 

Excellent communication skills and teamwork

Interested candidates email CV and names of three references to: zz2401@cumc.columbia.edu

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting.

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