[TriPython] Python data positions in life science

[Charles]

Dear Reader,

The National Institute for Environmental Health Sciences (NIEHS) is 
looking to recruit two software positions for a newly formed Office of 
Data Science.  Broadly, these positions will help with the development 
and operations of data systems for managing, processing, integrating, 
visualizing, and analyzing of life science data.  The research data 
spans a variety of science domains, including genomics, epigenomics, 
immunology, metabolomics, etc, so the data types are highly variable and 
often very large.  For the most part, the work will be in a linux and 
high performance computing environment.  Python will be the language of 
choice.  Experience with Linux, Python, and relational data bases are 
important.  One of the positions will provide a focus on the backend 
data processing and management tasks, so a greater familiarity with 
databases and a willingness to do some dev/ops work is important.  
Exposure to semantic technologies/ontologies as well as NoSQL 
technologies will be helpful as we grow our capabilities.    The other 
position will focus on providing greater access to data, through 
web-based science apps, APIs, tools for data discovery, and solutions 
for cross-data system queries/computations.  This position will require 
a greater familiarity with web-based programming and collaborative tools 
(such as Jupyter).  Exposure to data analysis and visualization will be 
beneficial, especially in the life sciences.   Experience with Go, or a 
willingness to learn Go, is also of high interest.


The two positions are each one year contracts but with the expectation 
of continuation for good candidates.   Remote candidates will have to be 
extremely good fits to be considered.


Sorry, but the work cannot be performed by companies or through 
subcontracts.


Please send resume to Charles Schmitt at schmittcp at yahoo.com.