Compendia Bioscience is developing our next-generation cancer-research tool and we are looking for a Bioinformatics Analyst to join our team.
The individuals we are looking for:
Have a strong understanding of basic biology, genomics, DNA microarrays, high-content data analysis and genome databases.
Have strong computational skills; in particular, data parsing, data analysis and database implementation.
Are able to review and synthesize scientific data.
Are passionate about creating high-quality output in an open, challenging environment
Communicate well in person and in writing.
Enjoy working in the dynamic environment of a startup life sciences technology company.
Bioinformatics, programming, and database experience are required; experience with Perl, R, and SQL, as well as with high-content genomics data are a plus.
Compendia Bioscience collects, curates, analyzes, and visualizes a large database of genetic data that enables cancer researchers to understand connections between genes, diseases, and drug therapies. Started in 2006 and based on research done at the University of Michigan, Compendia Bioscience offers Oncomine, a subscription Web-application that currently supports over 5000 commercial and academic scientists.
Individuals we hire will join our growing team of developers and scientists, with significant interactions with R&D, Product Management, Product Development, Scientific Content, and Operations. This role will have direct responsibility for developing strategies to process and manipulate novel types of high-throughput molecular profiling data. In addition, the role will support the organization in the implementation and operation of such strategies.
Compendia's culture reflects the intellectual inquisitiveness and diverse abilities of our people. It is a place where advanced software practices intersect with cutting edge research: where an ad hoc meeting might be about a new Java open source package, a new statistical analysis technique, a new visualization technique, a new application of ontology-based knowledge representation to search techniques, or an exciting new cancer research paper. We are looking for people who are excited by such an environment, who like to learn, and who will contribute their own unique perspectives to our collective understanding of how we can harness the global collection of genomic data.
Send your cover letter and résumé.
