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Senior Project Manager, Data Science Initiatives - The Jackson Laboratory
Data Scientist
Lead high‑impact data science projects from concept to delivery, applying Agile project management, technical expertise in Python and SQL, and cloud infrastructure on AWS to meet strict timelines and resource constraints.
About the role
Key Responsibilities
- Define, plan, and execute high‑priority data science initiatives, ensuring alignment with research goals and delivery schedules.
- Establish and maintain standardized project management frameworks, tools, and reporting mechanisms across the data science team.
- Facilitate cross‑functional collaboration among data scientists, engineers, and stakeholders, driving Agile ceremonies and clear communication.
- Monitor project performance, manage risks, and adjust resources to keep projects within scope, budget, and timeline.
- Onboard new initiatives, set up technical environments, and ensure best practices for data handling, security, and reproducibility.
Requirements
- 5+ years of experience managing complex data‑driven projects, preferably in a research or biotech environment.
- Proven expertise with Agile methodologies (Scrum/Kanban) and project management tools such as JIRA or Azure DevOps.
- Strong technical background in data science workflows, including Python, SQL, and cloud platforms (AWS or GCP).
- Excellent communication and stakeholder management skills, with a track record of delivering results under tight deadlines.
- Bachelor’s degree in a quantitative field; advanced degree or PMP/Agile certification is a plus.
Skills
project managementpythonsqlaws