RESPONSIBILITIES

The position requires development of novel methods for the analysis of and integration of OMIC data with phenotypic data for identifying biomarkers. Applicant will develop computational methods (i) for improved understanding of diseased models from high content screening of multicellular systems as a result of perturbation of the microenvironment, and (ii) to identify molecular basis of tumor subtypes from high content screening of tumor histologies. This is an exciting opportunity to expand in multiple directions, to gain new insights for developing new therapeutic targets, and obtain independent grants.

HOW TO APPLY

For full consideration, follow the link to the job posting and apply directly to Berkeley Lab. As part of the online application process, please complete a profile, including uploading attachments relevant to the opportunity. Be sure to reference where you found the position (Bioinformatics.Org).

https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75126

POLICY

Berkeley Lab is an affirmative action/equal opportunity employer committed to the
development of a diverse workforce.