Compendia Bioscience is developing our next-generation cancer-research tool and we are looking for a Data Programmer to join our team.
The individuals we are looking for:
Have strong computational skills; in particular data parsing, data analysis and database implementation.
Are able to review and synthesize scientific data in an Oracle database.
Are passionate about creating high-quality output in an open, challenging environment.
Value simplicity and validation in program design and practices.
Communicate well in person and in writing.
Enjoy working in the dynamic environment of a startup life sciences technology company.
Programming and database experience are required; experience with Perl, Python, XML, and SQL, as well as, with high-throughput genomics data are a plus. The candidate should be familiar with, and able to navigate in, both the Linux and MS Windows environments.
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 Scientific Content, Product Development, and Operations. The role will support the programming needs of internal scientific content and scientific applications departments, such as the creation of reports and data exports. In addition, this role will lead the development of methods and programs to organize and validate high-throughput molecular profiling data.
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.
