Senior Machine Learning Engineer - RWE - United States - Remote

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 data analysis.
• Experience with Real-World Evidence (RWE) datasets.
• Strong programming skills in languages such as Python or R.
• Familiarity with machine learning frameworks and tools.
• Ability to work collaboratively in a team environment.
• Excellent communication skills.
• Strong problem-solving abilities.
• Experience in the healthcare industry is a plus.

Benefits

• Opportunity to work with a leading life science company.
• Engage in cutting-edge machine learning projects.
• Collaborative and innovative work environment.
• Professional development opportunities.
• Competitive salary and benefits package.