Closed:Postdoctoral fellowship in Computational Genetics at Mount Sinai (New York)

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[ron.do]

ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI

Open Post-Doc Position in Dr. Ron Do Lab

A computational postdoctoral position is available immediately in Statistical Genetics, Human Genetics and/or Population Genetics in Dr. Ron Do’s lab. The Do lab is in the Charles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.

Dr. Do’s lab focuses on determining the genetic and biological bases of complex disease. The group pursues these interests by utilizing approaches from statistical genetics, population genetics, human genetics and genetic epidemiology.

Current lab research areas include: (1) Causal inference of biomarkers with complex disease; (2) Identification of biological processes of complex disease using functional data; (3) Inferring the strength and mode of natural selection for complex disease; (4) Rare variant association studies using sequencing data; (5) Data mining in electronic health records.

The successful candidate will have the opportunity to work on large-scale cutting-edge sequencing, genotyping and high-throughput functional data. Importantly, the candidate will have substantial input to the specific nature of their research project but should broadly fit within the lab’s overall research goals.

Lab members will benefit from collaborations with neighboring labs in the Charles Bronfman Institute for Personalized Medicine, the Center for Statistical Genetics, and the Icahn Institute for Genomics and Multiscale Biology.

The term for this position is for 2-3 years with possibility of an extension depending on successful progress and available funding. A competitive salary, benefits and travel opportunities will be offered commensurate with experience and qualifications.

Job Qualifications:

1. Candidates should have a Ph.D., M.D. or equivalent doctorate in statistical genetics, population genetics, computational biology and/or human genetics
2. Candidates should have proficiency in programming (e.g. Perl or Python) and statistical computing (e.g. R).
3. Candidates should have a track record of scientific productivity and/or leadership.

Please send inquiries, including a CV and two references, via email to [e-mail].

Ron Do, Ph.D.
Assistant Professor in Genetics and Genomic Sciences
Member, The Charles Bronfman Institute for Personalized Medicine
Member, The Center for Statistical Genetics
Member, The Icahn Institute for Genomics and Multiscale Biology
Icahn School of Medicine at Mount Sinai
Tel: [phone]
Email: [e-mail]
Website: www.rondolab.org