Scientific Project Manager

Description

Position Details: 

Job Title: Scientific Project Manager 

Job Type: Full-time 

Location: Remote, MD 

Dynanet Corporation Overview: 

Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology. From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation. The company’s efforts helped organizations build the very fabric of connectivity that now powers our modern world. Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly. While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers. Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape. Our story is more than just a story of technology – it’s a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future. 

About the Role:  

The Scientific Project Manager supports the planning, coordination, and execution of scientific, technical, and data-focused projects. The role combines project-management responsibilities with hands-on support for scientific data operations, documentation, workflow coordination, and cross-functional delivery. 

The Scientific Project Manager serves as a bridge between scientific subject matter experts, technical teams, project leadership, customers, and other stakeholders. The position is responsible for helping translate project goals and requirements into organized, actionable work; maintaining visibility into priorities and deliverables; coordinating activities across team members; and supporting the accurate and efficient management of scientific data and related processes. 

The balance between project management and scientific-data responsibilities may vary based on project requirements. 

Roles & Responsibilities: 

Project Management and Operational Coordination 

• Support planning and execution of scientific and technical projects using established project management and Agile delivery practices. 
• Translate project objectives, customer requirements, stakeholder feedback, and team decisions into actionable activities, milestones, schedules, and work items. 
• Coordinate activities across scientific, technical, data, development, and other cross-functional team members. 
• Support sprint planning, backlog refinement, sprint reviews, retrospectives, and other recurring delivery activities, as applicable. 
• Maintain project-management systems and ensure work items reflect current priorities, ownership, status, dependencies, and completion criteria. 
• Track milestones, schedules, risks, issues, dependencies, decisions, action items, and deliverables. 
• Proactively follow up on assigned activities and identify work that is delayed, blocked, or requires clarification. 
• Support evaluation of competing priorities and sequencing of work based on project objectives, dependencies, and available resources. 
• Coordinate meetings, prepare agendas and supporting materials, document decisions and action items, and track follow-up through completion. 
• Maintain organized and current project documentation. 
• Support preparation of project status reports, customer updates, presentations, and other project communications. 
• Identify project risks or operational concerns and escalate issues to appropriate project or organizational leadership. 
• Support testing, quality-assurance, User Acceptance Testing, release coordination, or other validation activities as applicable to the project. 
• Contribute to continuous improvement of project processes, templates, workflows, and delivery practices. 

Scientific Data Management and Operations 

• Support coordination, organization, and management of scientific and technical data throughout the project lifecycle. 
• Assist with scientific data onboarding, extraction, transformation, curation, quality review, and integration activities. 
• Support development and maintenance of reproducible and scalable data-management workflows. 
• Coordinate scientific data activities across subject matter experts, analysts, developers, data specialists, and other project personnel. 
• Support metadata organization, terminology harmonization, controlled vocabularies, data standards, and related data-governance activities. 
• Maintain documentation supporting scientific data traceability, quality, and reproducibility. 
• Assist with maintenance of data dictionaries, process documentation, workflow diagrams, and related scientific or technical artifacts. 
• Support scientific quality-control activities and coordinate resolution of data questions, discrepancies, or required corrections. 
• Assist with evaluation and organization of external scientific data sources and repositories. 
• Support interoperability activities involving scientific databases, APIs, ontologies, metadata standards, or other external systems. 
• Identify opportunities to improve the efficiency, consistency, scalability, and transparency of scientific data processes. 
• Assist with preparation of scientific reports, presentations, briefing materials, demonstrations, and other project deliverables. 
• Support scientific stakeholder engagement and coordination activities as required by individual project needs. 

Required Professional Skills: 

• Bachelor's degree or higher in a scientific, technical, data, project management, or related discipline. 
• Demonstrated experience coordinating projects, scientific operations, laboratory operations, research activities, data workflows, technical operations, or comparable multidisciplinary work. 
• Experience coordinating people, tasks, schedules, workflows, or recurring deliverables. 
• Strong organizational skills and demonstrated ability to manage detailed work across multiple priorities. 
• Experience working with scientific, technical, or quantitative data. 
• Ability to translate project objectives and stakeholder needs into clearly defined activities and follow-up actions. 
• Strong written and verbal communication skills. 
• Demonstrated ability to work effectively with cross-functional teams. 
• Strong attention to detail and commitment to accurate, high-quality work. 
• Ability to identify unclear requirements and proactively seek clarification. 
• Demonstrated ability and willingness to learn new tools, processes, technologies, and scientific domains. 
• Ability to work independently within established project objectives, priorities, and processes. 

Preferred Professional Skills: 

• Advanced degree in a scientific, technical, data, or related discipline. 
• Experience coordinating laboratory, research, scientific-data, or technical workflows. 
• Experience assigning or coordinating work across multiple individuals or functional areas. 
• Experience preparing recurring reports, deliverables, or data products for internal or external stakeholders. 
• Experience with Agile, Scrum, Kanban, or other iterative project-delivery approaches. 
• Experience with project management and collaboration platforms such as Jira, Confluence, Microsoft Project, GitHub, or similar tools. 
• Experience with scientific databases, data pipelines, metadata, ontologies, controlled vocabularies, or data-standardization activities. 
• Familiarity with Python, R, SQL, workflow-management platforms, APIs, or other scientific-data technologies. 
• Experience supporting software or data-system testing, validation, or User Acceptance Testing. 
• Experience supporting government, academic, research, healthcare, or other scientific organizations. 
• CAPM, PMP, Scrum, or related project-management certification, or interest in pursuing formal project management certification. 

Dynanet Team Requirements and Expectations: 

• Possess Strong written and verbal communication skills. 
• Highly organized with the ability to prioritize, balance, and effectively advance multiple competing priorities in a high-volume, fast-paced environment. 
• Ability to interact in a professional and collaborative manner with fellow Dynanet Teammates and the clients, and business partners that we work with. 
• Ability and desire to challenge and educate yourself to support and advance IT services delivery in the Federal agencies we serve. 
• Excellent judgment and creative problem-solving skills. 
• Respond to team member and client requests via email, MS teams, or other communication means during core business hours. 
• Active listening skills to understand clients' needs, and collaboration skills to work with other developers and designers. 

Core Competencies: 

Organization and Execution 

• Creates structure around complex or detailed work. 
• Establishes clear priorities and tracks activities through completion. 
• Maintains accurate records of commitments, decisions, deadlines, and dependencies. 
• Recognizes when follow-up is required and acts proactively. 

Communication and Collaboration 

• Communicates clearly with scientific, technical, and nontechnical stakeholders. 
• Asks thoughtful clarifying questions when information or expectations are incomplete. 
• Facilitates communication across disciplines and helps ensure shared understanding. 
• Documents decisions and requirements accurately and consistently. 

Scientific and Data Aptitude 

• Demonstrates curiosity about the scientific context underlying project activities. 
• Understands the importance of data quality, provenance, traceability, and reproducibility. 
• Learns unfamiliar scientific concepts and data structures effectively. 
• Recognizes when specialized scientific or technical expertise is required. 

Learning and Adaptability 

• Demonstrates initiative in developing new skills and seeking relevant training. 
• Adapts to changing project priorities, customer needs, and technical environments. 
• Incorporates feedback into working practices. 
• Applies established processes while identifying opportunities for improvement. 

Accountability 

• Takes ownership of assigned responsibilities. 
• Follows through on commitments and supports accountability across the team. 
• Identifies potential delivery risks early. 
• Escalates issues appropriately rather than allowing unresolved problems to persist. 

Expected Outcomes: 

• Provide consistent and reliable coordination of assigned project activities. 
• Maintain clear visibility into priorities, status, risks, dependencies, and upcoming deliverables. 
• Ensure project decisions and requirements are translated into documented, actionable work. 
• Facilitate effective coordination between scientific and technical team members. 
• Support accurate, traceable, and reproducible scientific data processes. 
• Improve the organization and efficiency of project and data management workflows. 
• Build trusted working relationships with project leadership, team members, customers, and stakeholders. 

Education/Experience Requirements: 

• Bachelor's degree or higher in a scientific, technical, data, project management, or related discipline. 
• 5+ years of progressively responsible experience supporting or coordinating scientific, technical, laboratory, research, data, or project operations, including demonstrated responsibility for schedules, workflows, personnel coordination, recurring deliverables, or stakeholder reporting. 
• CAPM, PMP, Scrum, or related project-management certification, or interest in pursuing formal project management certification. 

Employee Benefits Overview: 

• Industry Competitive Compensation 
• Medical and Dental Insurance 
• Paid Time Off/Holidays 
• 401(k) Retirement Plans with Matching 
• Remote Work* 
• Paid Training 
• Employee Referral Program 
• Employee Development Program