Leidos Government Health and Safety Solutions is seeking a Senior Data Scientist (Bioinformatics), contingent upon contract award, to support a project at the National Institutes of Health (NIH). The position will be located in Bethesda, Maryland with the possibility of some remote work.
The successful candidate will provide support as part of a team in the submission, quality assurance, and provision of subject-level research data (clinical, phenotypic, neuroimaging, genomics from hundreds of NIH-funded and non-NIH- funded research laboratories). The candidate must follow industry standards and best practices for stewardship, provenance, versioning, and quality of all data. Sensitive data must be managed in accordance to the System Security Plan FISMA Moderate controls. Accuracy and appropriateness must be maintained for data dissemination via customer web application and provisioning to authorized users via web services and data archive clients, in order to adhere to the FAIR principles – data must be findable, accessible, interoperable, and reusable and in order to preserve subject privacy and the confidentiality of their data.
Curate and harmonize all new research data to the customer data dictionary, manage data quality assurance processes, and support all users’ data submission and harmonization needs in adherence with the current customer data harmonization approach
Operate and maintain the data dictionary web service for external users and data dictionary web application for internal users
Update data harmonization approach as newer methods and tools become available, as appropriate
Maintain behavioral, phenotypic, demographic, clinical, genomic, imaging, and neurosignal recording data standards, creating up-to-date data structures for such data sets, as needed
Create links to existing controlled vocabularies (such as LOINC or SNOMED)
Use newly emerging data formats/infrastructure such as FHIR, as appropriate
Oversee automated data provisioning to authorized users through utilization of a centralized permissions model and regular coordination with the Database Administration team
Provide Tier 2/3 user support for data submitters who are submitting large-scale biomedical research data
Provide Tier 2/3 user support for data users who access linked, partially harmonized datasets comprised of data collected from different laboratories or consortia
Manage and harmonize metadata and supporting documentation, to support auditability and versioning of research data and to provide appropriate context to secondary data users
Manage administrative data to support accurate internal and external reporting
Maintain integration with administrative data systems
Ensure data model maps to overall customer institution and data archive system business procedures
Support a Data Archive evaluation framework through the management of user logs, internal and external data use, and publication metrics
Integrate appropriate unique person and data identifiers from external sources (ORCID, etc.), as appropriate
Generate data utilization reports, including data submission, data access, data use, data downloads, and return on investment reports for leadership
Support and extend full auditing capability for all database modifications
Maintain up-to-date internal- and external-facing documentation of all standard operational and technical procedures
The work will maintain and update the enterprise information management strategy for all research and administrative data, to ensure data integrity, availability, and confidentiality.
BS degree and 10 – 12 years of prior relevant experience or Masters with 8 years of prior relevant experience or equivalent based on evaluation of academic credentials, training and/or experience.
Ability to obtain a Public Trust clearance, existing active HHS/NIH Public Trust clearance is a plus
8+ years experience working with clinical and non-clinical research data including curation of such data
Proven experience in a role as a subject matter expert in program/project having bioinformatics requirements and working with large datasets
Experience providing guidance with industry standards and best practices for stewardship, provenance, versioning, and data quality control
Experience working with data models, collection, and management of data in multiple forms
Experience operating a system with a FISMA Moderate compliance designation
Prior experience working with NIH data systems such as eRA, IMPACII, and dbGaP, a plus
Requires ability to obtain Public Trust Clearance
External Referral Bonus:Eligible
Potential for Telework:Yes, 50%
Clearance Level Required:Public Trust
Travel:Yes, 10% of the time
Scheduled Weekly Hours:40
Job Family:Data Scientist
Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 38,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Va., Leidos reported annual revenues of approximately $11.09 billion for the fiscal year ended January 3, 2020. For more information, visit www.Leidos.com.
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