Project Manager | Agile Scrum Master
Coordinates full SDLC for scientific software projects using Agile, managing cross-functional teams on genomic data initiatives at NCBI. Requires 5+ years software development/management experience and Bachelor's in Computer Science.
About the job
Duties & Responsibilities
- Coordinates the full software development lifecycle (SDLC) in a scientific environment, including defining technical and functional requirements, quality control planning, implementation, upgrades, and integration with existing NCBI systems through Agile Process methodology.
- Daily coordination of complex technical projects dealing with scientific and genomic data.
- Participate in and provide technical and administrative expertise to software development projects.
- Responsible for software/system design and specifications, system implementation and integration, and testing.
- Track milestones and produce deliverables.
- Balance risks, schedules, and resources.
- Coordinate cross-functional teams of various sizes with diverse technical skills sets.
- Advise senior management on technical issues.
- Communicate project issues to stakeholders and senior management.
Required Skills
- Formal education (minimum: Bachelor’s degree) in Computer Science or related field.
- At least 3 years of project management experience and at least 5 years of experience developing the software and/or managing the software development.
- Strong Technical Knowledge of software application development.
- Experience managing software development projects using Agile methodology.
- Experience coordinating work across multiple teams and departments.
- Effective verbal and written communications.
- Experience in delivery of complex enterprise level software development projects.
Desired Skills
- Master’s degree preferred.
- Experience with scientific or biological data a plus.
- Experience as software development technical lead.
- Experience working with large databases, statistical analysis, and clinical data.
- Experience in a research and development (R&D) environment with demonstrated ability to analyze problems and propose multiple solutions.
- Experience with large distributed systems and cloud computing.
Skills
Agile, Scrum, Software Development Lifecycle, SDLC, Project Management, Genomic Data, Large Databases, Cloud Computing, Distributed Systems, Python, Django, C++
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