[BioC] Computational Epigenomics faculty position

[John Greally]

A pdf of advertisement can be downloaded from the following link:
http://greallylab.aecom.yu.edu/downloads/files/ComputationalEpigenomics_ad.pdf

Faculty position in Computational Epigenomics.

The Albert Einstein College of Medicine is seeking applications for a
faculty position in Computational Epigenomics.  The appointment will be in
the Division of Biostatistics in the Department of Epidemiology and
Population Health (DEPH). Einstein is a leading research institution with
a strong commitment to excellence in research.  The DEPH is well
recognized for its multi-disciplinary programs in epidemiologic,
prevention, and health services research and is currently undergoing
considerable expansion of its faculty base.

The successful candidate will work extensively with the members of
Einstein’s Translational Epigenomics Program (TEP).  The investigators in
this program are leaders in the generation of high-throughput epigenomic
data, using microarrays to study cytosine methylation, chromatin
constituents (ChIP-chip), comparative genomic hybridization (CGH) and gene
expression.  The successful applicant will provide expertise in
high-throughput data analytical tools working within a database
environment, and the ability to integrate data across platforms for a
systems-level understanding of epigenomic regulation in health and
disease.  Specific human diseases of interest to TEP investigators include
hematological and other malignancies, fetal effects on adult disease, type
2 diabetes mellitus, neurological and psychiatric diseases, and the
effects of aging, drugs and genotype on the epigenome.

The successful candidate will be a faculty member in the Division of
Biostatistics.  He/she will have opportunities to develop an independent
program of research, and to teach medical and graduate students. The
position will provide opportunities for diverse research experiences in a
highly collegial environment with potential for growth.  Resources
available include Einstein’s Bioinformatics Shared Resource, where there
the focus is on management of epigenomic and other data within a
relational database.

Applicants should ideally have a doctorate in biostatistics or statistics,
although applicants with appropriate experience and a doctorate in related
fields such as mathematics or physics will also be considered.  Further
requirements include experience in microarray and high throughput data
analysis, excellent verbal and written communication skills, relevant
research and teaching experience, a record of peer-reviewed publications,
and a strong interest in methodologic research.

Interested candidates should submit a cover letter describing their
research and teaching experience and listing three referees (who should be
asked to submit their references directly to the address shown below),
together with their curriculum vitae, to:
Mimi Y. Kim, Sc.D.
Head, Division of Biostatistics
Department of Epidemiology and Population Health
Albert Einstein College of Medicine
Jack & Pearl Resnick Campus
1300 Morris Park Avenue
Bronx, New York  10461
Email: mikim at aecom.yu.edu.
Applications will be accepted on a continuing basis until the position is
filled. Albert Einstein College of Medicine is an equal opportunity
employer.