Position Objective: Provide services as a Data Specialist in support of the overall functions of the National Center for Advancing Translational Sciences (NCATS) within the National Institutes of Health (NIH). The Data Specialist will serve as a bioinformatic data coordinator for TDB to support outreach, acquisition, coordination, and data integration for Rare-Source™, an integrated bioinformatics resource for rare diseases with our development partner. The Data Specialist should preferably have a master’s degree in a genomics-related scientific field with at least 1-3 years of experience.

Duties and Responsibilities:

• Perform data entry in support of a number of different systems and programs, both numerical and text format. Organize, implement, maintain, and archive data.
• Work with staff to gather and analyze information from users, primarily principal investigators (PIs), needed for the development or modification of CRFs and accompanying interface relating to data collection, storage and access.
• Perform quality checks to ensure consistency, integrity and robustness of data.
• Provide analysis, analytical modeling, and/or data visualization on data sets using relevant data tools.
• Create data workflow processes.
• Provide support with data sharing, including public repositories. Work with staff to prepare and standardize data for the database. Perform routine and general data management.
• Perform database searches and assemble data sets.
• Create systematic documentation on reporting (completeness, changes or errors). Maintain data for past and present studies.
• Work with staff to curate data, retrieve records, generate reports and act as a liaison with academic and industry researchers.
• Compile results of analysis projects into detailed reports. Maintain databases for tracking and monitoring activities.
• Maintain and update accurate and complete filing of data following data entry / QA. Perform data auditing for quality assurance of data entry review.
• Follow established policies and procedures for the quality assurance of all study collection interfaces, storage and access.
• Maintain a variety of computerized files and records.
• Maintain and improve the existing data pipeline for processing and storing data.
• Maintain tracking spreadsheet of tasks completed for each project and time spent conducting each task. Develop, maintain and update program database and spreadsheet.
• Maintain databases and spreadsheets related to various data sharing activities.
• Provide support for all data sharing related activities; create and maintain data access and data submission tracking systems and reports to be presented to senior program leadership.
• Maintain databases and spreadsheets for tracking and analyzing submission of datasets.
• Establish procedure to address inconsistencies and track resolutions. Enhance data management and document data sharing practices.
• Apply database management concepts, principles and methods, including data management systems, storage capacity management, backup and recovery, data storage media and other tools used for data management.
• Meet with data customers inside and outside the UDP to assess dataset requirements.
• Prepare databases and reports for staff; perform various tracking and analysis of branch data to include spreadsheet preparation and interpretation.
• Identify possible trends and patterns in the data; communicate relevant findings that support problem solving and decision making. 2
• Track and solve problems during the data entry and QA processes. 3
• Provide description of procedures used to perform data quality assurance; update as procedures are developed. 4
• Provide log and description of project-related data, associated data management problems that were solved and their resolution. 1
• Work with database users to identify and resolve cases of missing data. 5
• Outreach engagement to include:
• Navigating and identifying relevant public and non-public data sources, repositories, and data sets (both domestic and international).
• Evaluating and understanding external data sharing, data usage, and/or data transfer agreements, application requirements, policies, and implications.
• Coordinating with OSA and/or appropriate staff to complete external data sharing/usage applications and justification statements; and execute agreements for data sharing and integration of data into Rare-Source.
• Conduct purchase acquisition for data from sources including tracking for time-sensitive follow-up to ensure continued access to data by RARe-SOURCE™ - Weekly
• Examine, assimilate, and document NIH data sharing policies, NIH privacy and security guidelines; remain abreast of any new, evolving, and updated policies; and advise team members of those requirements. - Quarterly
• Utilize appropriate bioinformatic, data science, project management software and collaborative platforms to:
  • Support RARe-SOURCE™ data submission, entry, harmonization, and integration efforts. - Daily
  • Track, maintain, and organize all Rare-source related information including relevant metrics. - Daily
• Establish and maintain communication and interactions with relevant RARe-SOURCE™team members and partners to include:
  • Organizing and chairing meetings between colleagues, relevant collaborators, and development partners. - Weekly
  • Drafting and maintaining meeting minutes; and follow-up with action items and deliverables. - Weekly
  • Assist in the preparation of documents such as presentations, papers, posters - Weekly
• Liaise between TDB and RARe-SOURCE™ development partner to understand information about website updates, data collection framework, analytical tools, functionality, and features. - Weekly
• Manage communications and feedback from RARe-SOURCE™end users (e.g., researchers, clinicians, and rare disease patients and community partners). - Daily
• Attend 2-4 relevant conferences, symposiums and meetings to disseminate information about Rare- Source™ and relevant version updates and to external outreach to facilitate and form relationships with entities that have the data types of interest. - Ad-Hoc

Basic Qualifications:

• Bachelor's degree in molecular biology, biology, biochemical sciences, genetics, or information sciences.
• Skilled in Microsoft Office applications (Excel, PowerPoint, Word, Teams, Adobe, and Outlook).

Minimum Qualifications:

• Ability to multi-task and pay close attention to detail.
• Excellent analytical, organizational and time management skills.
• Strong communication skills, both oral and written.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

GAP Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristics.

This position is contingent upon contract award.