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) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY’s research and sponsored programs. RFCUNY’s services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society’s most pressing challenges.
RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY’s research and sponsored programs.
Equal Employment Opportunity Statement
Key Features
Biological Sciences
Full Time
Depends on Qualifications
Jul 12, 2015 (Or Until Filled)