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Senior Machine Learning Engineer - RWE - Europe - Remote

Posted 46 weeks ago

Overview

Luminary Group is currently in partnership with a world leading life science company who is currently seeking a highly skilled and motivated Senior Machine Learning Engineer with expertise in Real-World Evidence (RWE) to join their team. As a Senior Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning models and algorithms to analyze RWE data and extract valuable insights for the healthcare industry.

In Short

  • Design, develop, and deploy machine learning models and algorithms to analyze complex RWE datasets.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Preprocess and clean large-scale RWE data to ensure quality and integrity.
  • Evaluate and select appropriate machine learning techniques, tools, and frameworks for specific use cases.
  • Train, fine-tune, and validate machine learning models using state-of-the-art methodologies and techniques.
  • Optimize machine learning models for scalability, performance, and accuracy.
  • Monitor and maintain deployed machine learning models, ensuring their ongoing performance and relevance.
  • Stay up-to-date with the latest trends and advancements in machine learning and real-world evidence.
  • Communicate findings and insights to both technical and non-technical stakeholders.

Requirements

  • Expertise in machine learning and real-world evidence.
  • Strong programming skills in languages such as Python or R.
  • Experience with machine learning frameworks and libraries.
  • Ability to work with large datasets and data preprocessing techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills.
  • Experience in the healthcare industry is a plus.

Benefits

  • Opportunity to work with a leading life science company.
  • Collaborative and innovative work environment.
  • Professional development opportunities.
  • Competitive salary and benefits package.

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