Scientific R&D Data Steward

Booz Allen Hamilton Inc.•Washington, DC

44d•Hybrid

About The Position

To achieve an organization's mission, leaders need strong team members who can design, implement, and maintain strategic data management processes. Whether completing an immediate task, recognizing a process gap, identifying key stakeholders, or flexing to support an emerging requirement, our clients need a specialist who can help manage operations while managing responses to external inquiries in a timely manner. That is why we need you, an experienced Scientific R&D Data Steward who can integrate applicable IT program management strategies to help various teams understand their vision and needs as pertaining to scientific data. As part of our team, you'll serve as a strategic technical specialist for the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. You will work with world-class scientists and engineers to support the development of high-impact solutions to society's most challenging health problems. You'll leverage technical expertise to provide strategic assessments of new technologies in support to senior ARPA-H decision makers. You will maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commercialization of successfully developed technologies. You'll serve as a Scientific R&D Data Steward helping clients to develop IT management strategies, collaborate on leadership vision, develop stakeholder management strategies, and manage client's data requirements. You will be responsible for managing incoming requirements, advising on data governance standards, advising on scientific and healthcare data repositories, data types, and tools, and advising on data standards. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem-solving will enable the mission's success. This position is a Hybrid role with Booz Allen. Candidate is expected to work on-site at a Booz Allen or Client Facility 20-50% of your time, as needed.

Requirements

10+ years of experience in data management and governance
10+ years of experience managing biomedical data types, including data pertaining to EHRs, radiological imaging, digital pathology, and proteomics
Experience managing and handling PII, PHI, CUI, and IP data
Experience implementing FAIR and FHIR practices pertaining to data management
Experience drafting policies pertaining to data management and stewardship
Experience implementing minimum standards as pertaining to the Gold Standard Science Executive Order
Experience interacting and communicating with senior-level executives, including SES or GS-15
Bachelor's degree

Nice To Haves

Experience supporting an ARPA or R&D organization such as DARPA
Experience using Microsoft Office, including Excel, Word, and PowerPoint
Ability to operate independently within a fast-paced start-up environment
Possession of excellent verbal and written communication skills
Master's degree

Responsibilities

Build IT and data project plans and roadmaps and manage data requirements in take pipeline and prioritization.
Advise on scientific and healthcare data repositories, data types, or tools that could enhance programs and advise on data standards that will support the scientific vision and long-term growth.
Identify key stakeholders to collect pain points and requirements and socialize project plans to facilitate buy-in from stakeholders.
Identify cost efficiencies regarding data and technology infrastructure requirements.
Maintain current scientific knowledge of emergent biomedical data types, technologies, and standards and identify ways that re-use of data can support better science.
Advise on data governance standards, handling practices, and potential solutions for various biomedical data types.
Draft policies supporting the use and sharing of agency research data and coordinate education efforts on best practices and use of data.