Luminary Group
Global Engineer – Real World Evidence – Europe
Job Description
Luminary Group is currently seeking a highly skilled and motivated Global Engineer with expertise in Real World Evidence (RWE) to join our client 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. This is an exciting opportunity to work on projects that have a direct impact on healthcare and contribute to the advancement of evidence-based decision-making.
Responsibilities:
- Design, develop, and implement solutions for processing, analyzing, and visualizing real-world data.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Explore and evaluate new technologies, tools, and frameworks for working with real-world data.
- Develop and maintain data pipelines and data processing workflows.
- Validate and optimize methods and algorithms to ensure the accuracy and reliability of results.
- Stay up-to-date with the latest advancements in real-world evidence and data science.
- Provide technical guidance and support to internal teams and clients.
- Produce documentation and reports on methodologies, findings, and recommendations.
- Collaborate with external stakeholders, including regulators and healthcare organizations.
Requirements
- Bachelor’s degree in Computer Science, Data Science, or a related field; advanced degree preferred.
- Minimum of [number] years of experience in engineering or data science, with a focus on real-world evidence (RWE) and healthcare data.
- 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.
- Knowledge of statistical analysis and machine learning techniques.
- Experience with data visualization tools and techniques.
- 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.
