Careers Job Description
General Description
We are seeking skilled scientific programmers to develop next-gen sequencing data analytics applications on a workflow management platform currently under development. Successful candidates will be part of a software engineering team, following agile software development practices. A successful candidate will contribute to the development of standardized genomic data analysis workflows and APIs, within a scalable, portable platform ecosystem of software tools.
Other Duties
As part of the project, you will have the chance to participate in efforts at the forefront of the bioinformatics field research, aimed at establishing best practices and standards for genomic data representation and analysis. Specifically, responsibilities include development of custom analytics workflows using open source bioinformatics software applications, working on a platform that enables implementation of scalable, cloud-enabled workflows to disseminate analytical advances to the research community. Establish and maintain standards for structured software engineering, including design and testing, quality control, cloud platform configuration, software version release management and project management. Furthermore, provide documentation and user support allowing researchers inside and outside of our campus to access and the bioinformatics tools.
Qualifications
We welcome candidates with doctorate or master's degrees in computational biology, computer science, or related technical disciplines. Candidates with bachelor's degrees and significant accomplishments in real-world work experience will also be considered. Pay-scale will be based on education level and work experience. Advanced skills in a high level programming language - preferably Python and significant expertise working on the Linux command line is required. Knowledge of virtualization systems (VirtualBox, Docker) and cloud computing platforms such AWS is a must. Experience in analyzing next-generation sequencing data, both core data analysis pipelines (RNAseq, Exome, CHIPseq, Bi-sulfite) in addition to data formats and manipulation (BAM, SAM, VCF, BED, Wig etc) is a must have. Experience using software engineering methods for specifying, designing, and implementing systems. Ability to prioritize multiple tasks, excellent communication, analytical and organizational skills, both written and verbal. Comfortable to work independently and as part of a team while being collaborative in resolving problems. A desire to change the bioinformatics field by creating new technologies for large-scale analysis with genomic data.
RFCUNY Benefits
RFCUNY Employee Benefits and AccrualsAbout the Research Foundation
The Research Foundation of The City University of New York (RFCUNY) was established as a not-for-profit educational corporation chartered by the State of New York in 1963. RFCUNY supports CUNY faculty and staff in identifying and obtaining external support (pre-award) from government and private sponsors and is responsible for the administration of all such funded programs (post-award).
RFCUNY stands between CUNY’s principal investigators (PIs) and the sponsors who support them and strives to fulfill its essential responsibilities to both groups. Working closely with individual PIs and Grants Officers on the campuses, RFCUNY oversees employment, accounting, audit, reporting, purchasing, and special responsibilities that include management of a planned giving program; liaison with governmental agencies and foundations; negotiation of agreements; facility construction and renovation; protection and commercialization of intellectual property; and compliance with applicable standards in research involving human subjects, animal care, environmental and radiological safety, and conflicts of interest.
Equal Employment Opportunity Statement
Key Features
Biological Sciences
Full Time
Depends on Qualifications
Jul 12, 2015 (Or Until Filled)