Post Doc Computational
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|Requisition Title||Post Doc Computational|
|Job Status||Full Time|
|Position Category||Post Doctoral|
|Education Required||Graduate Degree|
|Experience Required||1 - 3 Years|
Postdoctoral Positions in Computational Genomics.
Postdoctoral positions are available in Dr. Adam Siepel’s research group in its new location at the Simons Center for Quantitative Biology at 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- and NSF-supported projects in human population genomics, including demography inference using Bayesian coalescent-based methods, inference of natural selection on regulatory and other noncoding sequences, and prediction of fitness consequences for noncoding mutations.
Relevant recent papers include the following:
Kuhlwilm M, Gronau I, Hubisz MJ, de Filippo C, Prado J, et al. Ancient gene flow from early modern humans into Eastern Neanderthals. Nature, 530(7591): 429–433, 2016.
Gulko B, Hubisz MJ, Gronau I, Siepel A. A method for calculating probabilities of fitness consequences for point mutations across the human genome. Nat. Genet. 47(3): 276–283, 2015.
Rasmussen MD, Hubisz MJ, Gronau I, Siepel A. Genome-wide inference of ancestral recombination graphs. PLOS Genet. 2014. 10(5): e1004342. PMCID: PMC4022496.
Arbiza L, Gronau I, Aksoy BA, Hubisz MJ, Gulko B, Keinan A, Siepel A. Genome-wide inference of natural selection on human transcription factor binding sites. Nat. Genet. 2013. 45(7):723-729. PMCID: PMC3932982.
Gronau I, Arbiza L, Mohammed J, Siepel A. Inference of natural selection from interspersed genomic elements based on polymorphism and divergence. Mol. Biol. Evol. 2013. 30(5):1159-1171. PMCID: PMC3697874.
Gronau I, Hubisz MJ, Gulko B, Danko CG, Siepel A. Bayesian inference of ancient human demography from individual genome sequences. Nat. Genet. 2011. 43(10):1031-1034. PMCID: PMC3245873.
The ideal candidate will be enthusiastic, highly motivated and independent; will have a strong background in comparative genomics, population genomics, or phylogenetics, a serious interest in genetics combined with good skills in mathematics and computer science, and a strong record of accomplishment in research. Postdoctoral associates in the group are expected to participate in both methods development and data analysis, to be comfortable in a fast-moving, interactive, and collaborative research environment, and to actively publish and present results.
• Ph.D. in bioinformatics, computer science, statistics, genetics, molecular biology, applied mathematics, or a related field.
Interested candidates must apply for this position via the CSHL careers website at: https://cshl.peopleadmin.com/postings/9898
Position Number 01229-R
Informal inquiries are also welcome.
Please submit a CV, a short description of research interests and experience, and contact information for three references by e-mail to firstname.lastname@example.org.
Adam Siepel, Ph.D.
For additional information about CSHL please visit: 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.
VEVRAA Federal Contractor.
Requisition Specific Questions
Required fields are indicated with an asterisk (*).
Please list in chronological order any graduate or professional schools attended, your degree(s) (eg. PhD, MD, DVM), date the degree was or is expected to be awarded. (Please refrain from referring to other documents)
(Open Ended Question)
Please list any previous postdoctoral or residency training experience (if applicable). Please refrain from referring to other documents.
(Open Ended Question)
Please provide the title of your doctoral thesis and the name of your thesis advisor(s). Please refrain from referring to other documents.
(Open Ended Question)
Please indicate the fields that you are interested in seeking training in at CSHL (check all that apply):
- Plant Biology
- Quantitative Biology
- Bioinformatics and Genomics
- No Answer
If you are authorized to work for all employers in the US on a full time basis, will you now or in the future require sponsorship for an employment-authorized visa status?
If you are offered employment by CSHL, you must complete and sign the I-9 form required by the U.S. Immigration and Naturalization Service no later than your first day of employment and provide documentation to verify your identity and eligibility to work in the U.S. within three (3) business days of your date of hire.
- I have read and understood the above statement
- Resume or Curriculum Vitae
- Cover Letter