Bioinformatics Analyst II
The Advanced Biomedical Computional Science(ABCS) is a part of the Biomedical Informatics and Data Science Program at Leidos Biomedical Research, Inc. The ABCS provides technology development, scientific consultation, collaboration and training, and high-performance computing support to the NCI and NIH scientists and staff. This position will reside within Center for Cancer Research at the National Cancer Institute (NCI), an integral component of the research and clinical community at the National Institutes of Health (NIH). This position will support the programs' Genomic Data Sharing processes, training, and compliance.
- Database Management and Development
- Modify and manage the JIRA Tracking Database.
- Establish searching capacity for CCR studies using iRIS and OHSRP exemptions.
- Test the CCR GDS portal, make required modifications, plan and execute launch.
- Develop a corresponding SOP documenting data pulls from the portal.
- Build portal capacity working with CBIIT to enable the submission of GDS Exemption requests.
- Data Tracking Infrastructures
- Collaborate with CCR Annual Reporting System administrator to enhance ARS to allow reporting of GDS planning and compliance as part of required project (Z01) Annual Reporting.
- Ensure GDS requirements are incorporated in to the new iRIS protocol systems and develop an SOP.
- Assist to develop a new infrastructure using the reliance agreement infrastructure to identify and track studies in which the IRB of record is not NIH. Develop corresponding SOP.
- Website Development and Management
- Data Entry
- dbGaP study registration
- Collect of the dbGaP study registration paperwork and register studies in dbGaP
- dbGaP data upload
- Assist CCR laboratory and branch staff to format and submit GDS data when required, prioritizing those who have registered the study to obtain the accession number for publication purposes, but then do not proceed to data share.
- JIRA Tracking Database Entry
- Enter data following each IRB meeting and pull reports quarterly from JIRA Tracking Database and as GDS required paperwork is submitted.
- Search JIRA monthly to look for studies first entered with the P number and update those P numbers to the final IRB number once a study has been approved.
- Develop a corresponding SOP documenting this procedure.
- Compliance Monitoring
- Identify and develop strong and effective communications with CCR lab/branch GDS lead administrators to improve compliance.
- Biorepository Protocol Tracking
- Establish a different infrastructure for tracking biorepository studies. require
- Develop a corresponding SOP documenting the procedure once established.
- Develop a training plan and slide deck for all CCR Staff associated with use of the expanded GDS portal once it is launched.
- Conduct GDS training for all new CCR Investigators and Clinical Fellows.
- Train new GDS Lab/Branch leads.
- Generating Data Reports
- Complete all data pulls required for Annual and Quarterly Reports to CCR and OSP.
- Serve as the primary contact addressing investigator queries and for all lab/branch GDS leads.
- Establish and respond to any emails from, i.e. AskCCRGenomicDataSharing.
- Develop and update SOPs on Data Sharing Plans, Institutional Certification Memo's, and Exception Requests when the new portal and all other CCR GDS operations as indicated.
- Possession of a Bachelor's degree (Masters or PhD degree preferred) in biomedical science/bioinformatics/math/computer related field from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education)
- In addition to education requirements, a minimum of two (2) years related experience in a biological research environment with a knowledge in bioinformatics data analysis
- The candidate must possess experience in genomic and sequence (next generation sequencing) data
- Ability to be organized and keep detailed and accurate documentation
- Ability to communicate (oral and written) effectively within a multidisciplinary team
- Experience in using genomic data commons such as dbGaP
- Familiarity with JIRA