Senior Clinical Data Scientist (Data Management Lead) - Poland, Hungary, Romania - hybrid role

Tasks

• Communicate and resolve data related questions
• Coordinate clinical data science team work
• Coordinate cross functional data cleaning activities
• Create data flow diagram
• Detect unreliable data and assess validity risk
• Develop analytical tools and dashboards
• Develop clinical data acquisition plan
• Ensure compliance with SOPs/Guidelines and regulations
• Identify data elements and quality oversight steps
• Lead clinical data science function
• Maintain TMF documentation and filing
• Maintain proficiency through training
• Maintain project plans specifications and documentation
• Manage clinical data science milestones and deliverables
• Monitor risks using protocol and operational data
• Participate in audits and prepare audit documentation
• Perform analytic reviews and root cause analysis
• Request and plan clinical data science resources
• Review and maintain clinical data science budget
• Serve as primary liaison between clinical data science and project teams
• Steward clinical data quality
• Track project progress with status reports
• Train and mentor junior team members

Perks/Benefits

• N/A

Skills/Tech-stack

Analytical Reviews | Cause analysis | Clinical Data Quality | Clinical data | Clinical data management | Clinical data science | Clinical trials | Data Acquisition Plan | Data Flow | Data Management | Data Quality | Data Quality Risk Assessment | Data Science | Data acquisition | Data cleaning | Data dashboards | Data flow diagram | Flow Diagram | Project tracking | Protocol analysis | Quality risk assessment | Regulatory Compliance | Risk Assessment | Root Cause Analysis | Root cause | SOP compliance | TMF Management | Trial Monitoring