[BioC] Bio/Chemoinformatics positions for OpenTox and Sens-it-iv projects

Christoph Helma helma at in-silico.de
Mon Oct 15 14:58:27 CEST 2007


We are offering 2 positions for scientific programmers with a strong background
in Bio- and Chemoinformatics, Data Mining, Toxicology and (Q)SAR modelling.

The successful candidates will design, implement and test open source software
for the EU projects Sens-it-iv (www.sens-it-iv.eu) and OpenTox
(www.opentox.org) using Ruby (on rails) as the main scripting  language and a
variety of external software packages, libraries and custom developments for
problem specific tasks (e.g.  Bioconductor/R for Bioinformatics/Data Mining,
OpenBabel/CDK for Chemoinformatics, lazar for toxicity predictions, ...). 

We expect efficient, independent and goal-oriented programming skills, a
familarity with open source development procedures and the ability to translate
life-science concepts into algorithms (and vice versa).
 
We offer a congenial working atmosphere in a small group with close
international collaborations and ample room to pursue your scientific
interests. The salary will follow the german (E13/BAT-IIA) scheme, and the
positions are initially limited to the duration of the EU projects (3 years). 

Please send a brief CV with a description of your scientific background and a
summary of your programming experience by email to helma at in-silico.de, if you
are interested in one of these positions (Deadline: October 31).

Christoph Helma == Freiburger Zentrum f. Datenanalyse u. Modellbildung (FDM)

Brief description of the EU projects:

The Sens-it-iv project aims to develop new in vitro techniques for the
detection of allergenic effects, our group maintains the internal database
(mainly toxicogenomics, -proteomics and -metabolomics data) as well as data
mining facilities.

OpenTox will create an open source framework for predictive toxicology with a
database backend, facilities for automated QSAR model development and
validation, a plug-in system for novel data mining and QSAR algorithms and an
easy-to-use web interface for end-users.



More information about the Bioconductor mailing list