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Global Solutions Architect

vor 2 Monaten


Lübbecke, Nordrhein-Westfalen, Deutschland Luminary Group Vollzeit
Job Description

Luminary Group is seeking a highly skilled and motivated Global Engineer with expertise in Real-World Evidence (RWE) to join our team in Europe. As a Global Engineer, you will play a key role in developing and implementing cutting-edge solutions for analyzing and deriving insights from real-world data.

Key Responsibilities:
  • Data Analysis and Insights: Design, develop, and implement solutions for processing, analyzing, and visualizing real-world data to drive business decisions.
  • Collaboration and Communication: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions, providing technical guidance and support to internal teams and clients.
  • Technology Evaluation and Adoption: Explore and evaluate new technologies, tools, and frameworks for working with real-world data, staying up-to-date with the latest advancements in RWE and data science.
  • Data Pipeline Development: Develop and maintain data pipelines and data processing workflows to ensure the accuracy and reliability of results.
  • Methodology Validation and Optimization: Validate and optimize methods and algorithms to ensure the accuracy and reliability of results, producing documentation and reports on methodologies, findings, and recommendations.
  • Stakeholder Engagement: Collaborate with external stakeholders, including regulators and healthcare organizations, to drive business outcomes.
Requirements:
  • Education: Bachelor's degree in Computer Science, Data Science, or a related field; advanced degree preferred.
  • Experience: Minimum of [number] years of experience in engineering or data science, with a focus on RWE and healthcare data.
  • Technical Skills: Strong programming skills in languages such as Python, R, or SQL, experience with big data technologies and cloud computing platforms, proficiency in data manipulation, transformation, and analysis using SQL and/or programming languages.
  • Soft Skills: Strong problem-solving and analytical skills, with attention to detail, excellent communication and collaboration skills, ability to work independently and in a team environment, comfortable working in a fast-paced and dynamic environment.