A Digital Scientific Partner drives digital transformation in scientific or healthcare fields by bridging technical solutions with operational needs. Key responsibilities include implementing digital tools (AI/ML), managing data integrity, and collaborating with cross-functional teams to optimize research or commercial outcomes. This role usually requires 5+ years of experience in data analytics, project management, and domain expertise, combining technical prowess with stakeholder management.
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Core Responsibilities
Digital Strategy & Implementation: Collaborate with business units to identify, prioritize, and implement digital tools, platforms, and AI/ML solutions.
Data Governance & Insights: Maintain high data integrity, availability, and connectivity while analyzing complex datasets to provide actionable insights.
Stakeholder Management: Act as a liaison between IT, R&D, Clinical, and Regulatory teams to ensure digital initiatives align with business goals.
Project Management: Lead technology projects from conception to completion, managing vendor partners, project schedules, and validation documentation.
Training & Adoption: Empower teams by providing training and resources to effectively use new digital technologies and data analytics.
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Key Qualifications
Experience: 5-10 years in data science, digital analytics, or relevant scientific fields, preferably in pharmaceutical or life sciences.
Skills: Proficiency in data visualization, SQL, Python/R, and AI/ML model deployment.
Education: Typically requires a Master's or PhD in Computer Science, Data Science, Bioinformatics, or a related scientific discipline.
Competencies: Strong leadership, communication, and project management skills with the ability to work in matrix organizations.
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