[Biopython] [OT][Job] Functional genomic analysis of cancer/RNAi screening

[Sean Davis]

Functional genomic analysis of cancer/RNAi screening
NATIONAL CANCER INSTITUTE, BETHESDA, MD

The laboratory of Dr. Natasha Caplen, within the Genetics Branch, CCR, NCI,
is seeking postdoctoral
candidates for a project focused on functional genomic analysis using RNAi
screening approaches. We
are looking for a highly motivated candidate who has received their PhD
within the last year to contribute
to our on-going studies applying RNAi based loss-of-function approaches to
probe cancer gene function.
The successful candidate will be expected to perform both bench and
computational-based studies and
will be involved in projects requiring the development and analysis of
large-scale RNAi screening data
focused on the biology of oncogenic transcription factors. The candidate
will be involved in the design
and employment of RNAi screens (up to genome-wide scale) and analysis of the
data generated through
application of state of the art computational methodologies. This
large-scale RNAi screening data will
also be assessed in the context of other relevant datasets such as next
generation sequencing, epigenetic,
gene expression and drug sensitivity datasets. The computational analyses
will ultimately be used to
systematically build hypotheses to identify key pathways and networks
underlying the specifics of the
cancer biology and the candidate will then be expected to experimentally
test these hypotheses.

Dr. Caplen’s laboratory conducts both independent and collaborative studies
and the successful candidate
will have the opportunity to interact with NCI and NIH investigators
studying many different cancer
biology questions using RNAi based technologies. Currently we are involved
in RNAi studies relevant to
the biology and treatment of several pediatric cancers, colorectal, breast
and prostate cancer. For further
information please see Dr. Caplen’s website at
http://ccr.cancer.gov/staff/staff.asp?profileid=9035.

Requirements:
The candidate must have a Ph.D in biological sciences with additional
training in computational biology
or bioinformatics. Previous experience in molecular biology including
mammalian cell culture and
assessment of gene expression is required, as, too, is experience in
programming skills in languages
such as perl, python, R, java, or c++. As the position involves the need to
discuss scientific data and
strategy with members of the existing team and with collaborators, oral and
written fluency in the English
language is required. Applicants should email a cover letter describing
research experience and interests,
curriculum vitae, bibliography, and contact information for three references
(including the current
supervisor) to Dr. Natasha Caplen at ncaplen at mail.nih.gov. Please include
“PD2011” in the email subject
line.