Post Doc Computational

A postdoctoral position in COMPUTATIONAL GENOMICS is available in Dr. Adam Siepel’s research group at the Simons Center for Quantitative Biology (SCQB), Cold Spring Harbor Laboratory.

The Siepel Group specializes in the development of probabilistic models, algorithms for inference, prediction methods, and application of these methods in large-scale genomic data analysis. Of particular interest is research relevant to existing NIH-supported projects in:

1. COMPARATIVE GENOMICS including inference of natural selection on regulatory and other noncoding sequences, and estimation of rates of turnover of regulatory elements; and

2. TRANSCRIPTIONAL REGULATION in mammals, including the estimation of rates and patterns of transcriptional elongation from PRO-seq data and prediction of transcription factor binding sites from ATAC-seq data.

RELEVANT RECENT PAPERS INCLUDE THE FOLLOWING:
1. Danko CG, Choate LA, Marks BA, Rice EJ, Zhong W, …, Siepel A. Dynamic evolution of regulatory element ensembles in primate CD4+ T-cells. Nat. Ecol. Evol. 2:537-548, 2018.

2. Huang YF, Gulko B, Siepel A. Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data. Nat. Genet. 49: 618–624, 2017.

3. Kuhlwilm M, Gronau I, Hubisz MJ, …, Siepel A, and Castellano S. Ancient gene flow from early modern humans into eastern neanderthals. Nature. 530:429–433, 2016.

4. Core LJ, Martins AL, Danko CG, Waters CT, Siepel A, Lis JT. Analysis of nascent RNA identifies a unified architecture of initiation regions at mammalian promoters and enhancers. Nat. Genet. 46:1311–1320, 2014.

Candidates should hold a Ph.D. in bioinformatics, computer science, statistics, genetics, molecular biology, applied mathematics, or a related field.
Research experience (with first-author publications) in computational genomics or a closely related field.
Fluency in probabilistic modeling and computational statistics. Proficiency in programming, ideally in C or C++, as well as in scripting languages such as python, Perl, mat lab, or R. Should be comfortable in a Linux environment, with large data sets, computer clusters, and databases.We offer a competitive salary and a comprehensive benefits program, including medical and dental insurance, and access to an affordable and an on-site childcare center.

Candidates from non-traditional and/or underrepresented backgrounds, broadly defined, are strongly encouraged to apply.

Interested candidates should submit a CV, a short description of research interests and experience, and contact information for three references, by email to asiepel@cshl.edu. Informal inquiries are also welcome.

In addition, candidates should apply online at: http://cshl.peopleadmin.com/postings/17315. Position ID: 02744-R

Adam Siepel, Ph.D.
Simons Center for Quantitative Biology (SCQB)
Cold Spring Harbor Laboratory
One Bungtown Road
Cold Spring Harbor, NY 11724

Cold Spring Harbor Laboratory is a world-renowned research and educational institution recognized internationally for its excellence in ground- breaking research programs in cancer, neuroscience, plant biology, genomics, and bioinformatics and broad educational mission. The Laboratory has long been recognized as a place for nurturing young scientists, with postdoctoral researchers being an integral part of the discovery process. The Laboratory offers a warm, collegial, and collaborative work environment as well as a beautiful location about one hour from New York City.
Website: https://www.cshl.edu

CSHL is an EO/AA Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status.