Careers | Epicenter Software

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Working at Epicenter Software

We are seeking talented, diverse and self-motivated individuals with multidisciplinary backgrounds that include but are not limited to computer science, biology, physics and mathematics/statistics. Individuals should be interested in creating cutting edge tools for managing, visualizing and analyzing biologically driven data. Interested applicants are encourage to apply for positions by sending an electronic copy of your resume (PDF or Word document) along with the title of the desired position to support@epicentersoftware.com.

Current Openings

C++ Programmer

Skills: C++, Visual Studio, Win32/64, MFC, Ankh/subversion, MySQL, scripting (Unix, shell, Perl, PHP, Python, etc.)
Required: We are looking for an experienced C++ programmer, in a Windows environment.
Desired: A background in biological sciences or bioinformatics would be a plus, as would IT experience in areas such as Subversion versioning, MySQL database development/maintenance, LAN, troubleshooting etc.
Responsibilities: The successful applicant will develop, modify and maintain tools for microarray and next-gen sequence analysis using C++ for a MFC application in a 32-bit and 64-bit computing environment, maintain and develop scripts to parse data into meaningful formats and identify, modify, reformat, and integrate biological/genomic annotations from publically available databases. Additional responsibilities include creating a protocol for maintaining version control, and writing and editing technical support documentation for new and existing program features.

R Language Programmer

Skills: R, C++, Win32/64
Required: We are looking for a programmer with extensive experience in R, and with the R program library Bioconductor. The applicant should also have experience developing in a Windows/C++ environment.
Desired: background in biological sciences or bioinformatics would be a plus.
Responsibilities: The successful applicant will develop, modify and maintain tools for microarray and next-gen sequence analysis using C++ for a MFC application in a 32-bit and 64-bit computing environment. The successful applicant will build an interface between a comprehensive C++ bioinformatics application and the Bioconductor library, to seamlessly integrate the data management, visualization and biological interpretations provided by the former, with the diverse analytical routines of Bioconductor.