[Jobinfo] Fwd: [Ieee_vis_open_positions] Seeking Postdoc in Biological Visualization/Visual Analytics

-------- Forwarded Message --------
Subject: 	[Ieee_vis_open_positions] Seeking Postdoc in Biological 
Visualization/Visual Analytics
Date: 	Wed, 14 Oct 2015 08:56:06 -0400
From: 	Will Ray <ray.29@osu.edu>
To: 	ieee_vis_open_positions@listserv.uni-tuebingen.de



*Seeking a postdoctoral candidate interested in applying visualization 
to guide the development of bioinformatic models.*

Are you interested in cutting-edge interactive data visualization and 
data analysis, have strong programming skills, and a desire to make a 
real impact in both basic science and medical care?

We are seeking a postdoctoral candidate to fill a position on a newly 
funded NIH project aimed at developing visual tools for understanding 
molecular/biomarker signatures of preeclampsia, a significant disorder 
of pregnancy. Current diagnosis and treatment for preeclampsia is 
entirely driven by gross clinical symptoms, with an unfortunately high 
rate of suboptimal outcomes. Far more information about the actual state 
of a preeclamptic pregnancy is available in proteomic and other 
biomarker signatures, yet there are currently no models or tools 
available to use these data for diagnosis and treatment planning.

The postdoctoral researcher will be directly and deeply involved in 
implementing a new model of preeclampsia based on data-derived networks 
of interacting proteomic signatures, and developing a tool that enables 
clinicians to place their patient in the model and accurately categorize 
their clinical phenotype at a molecular level. Our current preliminary 
models and analysis tools are visual-analytic/exploratory-visualization 
approaches, based in Linear Discriminant Analysis and Conditional Random 
Fields, and the postdoctoral researcher will be directly responsible for 
extending these tools and improving both the visualizations and the 
underlying analytic framework.


Candidates should hold a Ph.D. or equivalent in Computer 
Science/Visualization/Visual Analytics, Computational 
Biology/Bioinformatics, or similar relevant domains with strong 
computational components. Experience with OpenGL programming in Python 
(our current implementation is in Python) or C/C++ is highly desirable, 
as is proficiency in working and programming in a heterogenous Unix 
environment. Experience with Perl, relational or object-oriented 
databases, and graphical probabilistic models will be a plus.

If you are interested in more information, or to submit your CV, please 
email:

William Ray
ray.29@osu.edu <mailto:ray.29@osu.edu>




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