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SUSONITY
2mo ago

Head of PRWD Analytics and AI(m/w/x)

Darmstadt
Full-time, Part-timeOn-siteManagement
AI/ML
Data Science

Description

In this role, you will shape the future of patient-focused analytics by developing innovative strategies and AI-driven solutions. Your work will involve collaboration across teams, enhancing capabilities, and representing the organization at key industry events.

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Requirements

  • •PhD or advanced degree in Epidemiology, Biostatistics, Data Science, Computer Science, Engineering, Life Sciences related fields
  • •10+ years of experience in RWE generation, advanced analytics, AI, technology, digital transformation, or business solutions
  • •Proven leadership in managing teams and fostering cross-functional collaboration
  • •Expertise in statistical programming (e.g., R, SAS, Python) and working with diverse PRWD sources
  • •Good understanding of regulatory, payer and HTA bodies requirements and industry standards for PRWD and PRWE
  • •Excellent strategic, problem-solving, and communication skills with the ability to influence diverse stakeholders
  • •Commitment to excellence through collaboration, adaptability, and attention to detail

Education

Doctoral / PhD
OR
Master's degree

Work Experience

10 years

Tasks

  • •Develop and execute a strategy for PRWD insights and evidence generation
  • •Pilot best practices for generating actionable insights and evidence using advanced methodologies
  • •Lead the design and scaling of AI-driven solutions for PRWI/E
  • •Create and operationalize innovative tools for evidence generation
  • •Ensure compliance and quality standards in solution development
  • •Drive cross-functional processes and training for PRWD solutions
  • •Enhance organizational capabilities and decision-making through training
  • •Collaborate with PRWE, CMS, IT, R&D, and healthcare teams for integrated solutions
  • •Improve data interoperability across diverse real-world data sources
  • •Recruit and manage a high-performing team of experts
  • •Foster a culture of excellence and continuous learning within the team
  • •Build partnerships with academic institutions and health data networks
  • •Represent the organization at industry conferences and workshops

Tools & Technologies

RSASPython

Languages

English – Business Fluent

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