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Image Analyst at Harvard Medical School
This position will collaborate with biologists to design and implement automated image analysis methods, and downstream statistical tools. These will be used to extract biological information from large datasets of cell images generated for high content screens, time-lapse microscopy experiments, and other microscopy applications. The position will involve mostly team-based work leading to academic publication, with some opportunity for independent research. This position will work closely with the imaging resources at the Harvard Medical School ICCB-Longwood High Throughput Screening Facility (
<a title="blocked::blocked::http://iccb.med.harvard.edu/
http://iccb.med.harvard.edu/" href="blocked::http://iccb.med.harvard.edu/">http://iccb.med.harvard.edu/), the Drosophila RNAi Screening Center (DRSC; <a title="blocked::blocked::http://flyrnai.org/RNAi_index.html
http://flyrnai.org/RNAi_index.html" href="blocked::http://flyrnai.org/RNAi_index.html">http://flyrnai.org/RNAi_index.html ), and the Nikon Imaging Center (
http://nic.med.harvard.edu
). The high content imaging platforms available for use by this position include a Molecular Devices ImageXpress Micro, an Applied Precision cellWoRx, and an Evotec Opera. Candidates should have a PhD in a computational or mathematical field, with experience in image analysis or biostatistics. Working knowledge of cell biology or microscopy would be a plus. Candidates with a PhD in a biological field and in depth experience in image analysis and computation will also be considered.
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Jennifer Waters, Ph.D.
Director, Nikon Imaging Center at Harvard Medical School
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