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@mail.nih.gov. Please include “PD2011” in the email subject line. [[alternative HTML version deleted]]