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Dynanet Corporation

Scientific Project Manager

Dynanet Corporation

. Support planning and execution of scientific and technical projects using project-management and Agile delivery practices .

Posted 9/18/2026full-timeRemote • Maryland • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in project management and Agile methodologies, with a strong focus on coordinating scientific and technical projects. Proficient in managing data workflows, stakeholder engagement, and ensuring high-quality deliverables across cross-functional teams.

Highest-signal resume keywords
Project ManagementAgile MethodologiesData Workflow CoordinationStakeholder EngagementScientific Data Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Project ManagementData Workflow CoordinationScientific OperationsQuality AssuranceUser Acceptance TestingData IntegrationMetadata OrganizationData GovernanceScientific ReportingTechnical Documentation
Soft Skills
Strong Organizational SkillsAttention to DetailEffective CommunicationCross-Functional Team CollaborationProactive Problem Solving
Tools & Technologies
JiraConfluenceMicrosoft ProjectGitHubAPIsWorkflow-Management Platforms
Certifications & Qualifications
CAPMPMPScrum Certification
Industry Keywords
Scientific DataTechnical OperationsLaboratory OperationsResearch ActivitiesData Standards

Tech Stack

Tools & technologies
PMPPythonSQL

About the role

Key responsibilities & impact
  • Support planning and execution of scientific and technical projects using project-management and Agile delivery practices
  • Translate project objectives, customer requirements, stakeholder feedback, and team decisions into activities, milestones, schedules, and work items
  • Coordinate activities across scientific, technical, data, development, and cross-functional team members
  • Support sprint planning, backlog refinement, sprint reviews, retrospectives, and recurring delivery activities
  • Maintain project-management systems and keep work items current with priorities, ownership, status, dependencies, and completion criteria
  • Track milestones, schedules, risks, issues, dependencies, decisions, action items, and deliverables
  • Follow up on assigned activities and identify delayed, blocked, or unclear work
  • Coordinate meetings, prepare agendas and materials, document decisions and action items, and track follow-up
  • Maintain current project documentation and support status reports, customer updates, presentations, and project communications
  • Identify risks or operational concerns and escalate issues to project or organizational leadership
  • Support testing, quality assurance, User Acceptance Testing, release coordination, and validation activities
  • Contribute to continuous improvement of project processes, templates, workflows, and delivery practices
  • Coordinate scientific and technical data throughout the project lifecycle
  • Assist with data onboarding, extraction, transformation, curation, quality review, and integration
  • Support reproducible and scalable data-management workflows
  • Coordinate data activities across subject matter experts, analysts, developers, data specialists, and project personnel
  • Support metadata organization, terminology harmonization, controlled vocabularies, data standards, and data governance
  • Maintain documentation for scientific data traceability, quality, and reproducibility
  • Assist with data dictionaries, process documentation, workflow diagrams, and scientific or technical artifacts
  • Support scientific quality-control activities and resolution of data questions or discrepancies
  • Assist with external scientific data sources and repositories
  • Support interoperability involving scientific databases, APIs, ontologies, metadata standards, and external systems
  • Prepare scientific reports, presentations, briefing materials, demonstrations, and project deliverables
  • Support scientific stakeholder engagement and coordination
  • Respond to team member and client requests via email, MS Teams, or other communication means during core business hours

Requirements

What you’ll need
  • 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
  • Demonstrated responsibility for schedules, workflows, personnel coordination, recurring deliverables, or stakeholder reporting
  • 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 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
  • 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
  • Ability and willingness to learn new tools, processes, technologies, and scientific domains
  • Ability to work independently within established project objectives, priorities, and processes
  • Ability to respond to team member and client requests during core business hours
  • CAPM, PMP, Scrum, or related project-management certification, or interest in pursuing formal project management certification
  • Preferred: experience with Agile, Scrum, Kanban, or other iterative project-delivery approaches
  • Preferred: experience with Jira, Confluence, Microsoft Project, GitHub, or similar tools
  • Preferred: familiarity with Python, R, SQL, workflow-management platforms, APIs, or other scientific-data technologies
  • Preferred: experience supporting software or data-system testing, validation, or User Acceptance Testing

Benefits

Comp & perks
  • 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