Center Coordinator

We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care. Our team thrives in a creative, open, and growth-oriented environment, guided by our core values: Outcomes First: Focusing on what matters most and making timely, informed decisions. Innovative: Embracing creativity and continuous improvement to drive novel solutions. Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care. Never Satisfied: Pursuing excellence and continuous growth beyond the status quo. Resilient: Adapting and persevering through challenges, turning obstacles into opportunities. If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you. Position Overview Digital Infuzion delivers Data Coordination Services to large multi-center research networks through a comprehensive scientific data management, sharing, and analysis platform. We are looking for an exceptional individual to serve as the Center Coordinator for a Data Coordination Services program supporting the National Institute of Allergy and Infectious Diseases. In this role, you will provide scientific and operational coordination for a multidisciplinary team supporting a mission-driven NIH program focused on infectious disease, vaccine development, translational research, and related scientific initiatives. The role will bring together expertise in biomedical research, data management, informatics, data quality, and scientific communications. Serving as a key liaison among program leadership, government stakeholders, investigators, data managers, and technical teams, the Coordinator will help ensure that scientific priorities and stakeholder needs are clearly understood and addressed. This individual will translate those priorities into coordinated activities, effective data management strategies, well-defined technical requirements, and high-quality program deliverables. Who you are The ideal candidate is a scientifically trained professional with experience coordinating complex biomedical, public health, clinical, translational, or research-focused programs. You are a natural organizer, task manager, and action-oriented problem solver. You have a desire to apply your scientific or research background to support programs that enable biomedical discovery and public health impact. You are comfortable working with scientists, data analysts, informatics professionals, communications specialists, technical teams, and government stakeholders. You are skilled at facilitating discussions, identifying areas of agreement, resolving ambiguity, and translating stakeholder needs into clear requirements and next steps. You have a strong sense of quality and can help teams maintain clear processes, documentation, timelines, and expectations. You are interested in scientific data sharing, research coordination, and the role of data quality in advancing translational and pre-clinical research. You are collaborative, adaptable, and able to operate effectively in a fast-paced, matrixed environment. Responsibilities Serve as a primary scientific and programmatic liaison among government stakeholders, investigators, data managers, partner organizations, and internal scientific and technical teams. Support the Project Manager in coordinating project activities, timelines, deliverables, priorities, risks, dependencies, and action items across scientific, data quality, communications, and technical workstreams. Lead or facilitate recurring meetings, scientific working groups, requirements-gathering sessions, and stakeholder discussions, documenting decisions, action items, and follow-up activities. Coordinate the development, implementation, and maintenance of data standards, metadata models, and data management approaches for exploratory, preclinical, translational, and related biomedical research data. Develop and promote data management, access, and sharing practices consistent with FAIR data principles, NIH expectations, and applicable public repository requirements. Translate scientific priorities and user needs into clear requirements and recommendations for data quality, informatics, software development, analytics, and AI-enabled tools. Coordinate technical assistance and collaboration between scientific subject matter experts and technical teams to support investigators, data managers, and other members of the program’s user community. Support scientific communications, outreach, and program activities, including annual meetings, conferences, webinars, presentations, websites, and stakeholder-facing materials. Coordinate with data quality and scientific staff to help track data submission review activities, recurring issues, process improvement opportunities, and related documentation needs. Draft and review contract status reports, progress updates, meeting summaries, and other program deliverables that communicate project status, accomplishments, and upcoming priorities. Requirements Master’s degree in a life science, biomedical science, or related scientific discipline; equivalent experience may be considered. Background supporting biomedical, translational, infectious disease, vaccine, preclinical research, or scientific data-focused programs. Proven ability to facilitate scientific meetings, working groups, requirements-gathering sessions, and stakeholder discussions. Working knowledge of scientific research workflows, research documentation, data quality concepts, and biomedical or public health data environments. Ability to translate scientific needs into data standards, data management processes, technical requirements, or program recommendations. Demonstrated success coordinating complex projects, tracking action items and deliverables, maintaining documentation, and collaborating across scientific, technical, analytical, communications, and project management teams. Excellent verbal and written communication skills, with the ability to summarize information clearly and professionally for different audiences. Strong organizational skills, attention to detail, and ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications PhD in a life or biomedical science discipline, particularly biology, microbiology, immunology, virology, infectious disease research, or a related field. Prior work with NIH, HHS, NIAID, or another federal health agency. Background supporting a Data Coordinating Center or a large multi-center scientific research consortium. Advanced subject-matter knowledge in infectious disease, immunology, virology, vaccine development, translational science, or pre-clinical research. Familiarity with biomedical data standards, data quality processes, research data management, FAIR data principles, and NIH data sharing expectations. Experience coordinating scientific communications, outreach activities, conferences, or stakeholder engagement efforts. Ability to provide scientific requirements or subject matter guidance for informatics, software, analytics, AI, or machine-learning initiatives. Understanding of Agile practices within a software development or data management environment. Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws. We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at [email protected]. The decision on granting reasonable accommodation will be made on a case-by-case basis.