Global Engineer - Real World Evidence - Europe

Lübbecke, North Rhine-Westphalia, Germany

Luminary Group

Luminary Group, is an international executive search and business consultancy specializing in the Life Sciences and Pharmaceutical sectors. Contact us today

View all jobs at Luminary Group

Apply now Apply later

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.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Engineering Jobs

Tags: Big Data Computer Science Data pipelines Data visualization Engineering Machine Learning Pipelines Python R SQL Statistics

Region: Europe
Country: Germany

More jobs like this