Note: The job is a remote job and is open to candidates in USA. Digital Infuzion is dedicated to improving healthcare through innovative solutions and bioinformatics. They are seeking a Scientific Project Manager to coordinate a multidisciplinary team for a NIH program focused on infectious disease and vaccine development, ensuring stakeholder needs are met and scientific priorities are translated into effective data management strategies.
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 Principal Investigator and Program 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
Skills
- 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
- 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
Company Overview
Company H1B Sponsorship