Head Of Machine Learning - RWE - United States - Remote

Overview

Luminary Group is excited to announce a unique opportunity for an exceptional Head of Machine Learning with expertise in Real-World Evidence (RWE) to join our esteemed team. Reporting directly to the executive leadership, you will play a pivotal role in driving the strategy, innovation, and implementation of machine learning models and algorithms to derive meaningful insights from RWE data for the healthcare industry.

In Short

• Lead and inspire a team of talented machine learning engineers and data scientists.
• Define and execute the machine learning strategy within the RWE domain.
• Collaborate with cross-functional teams to translate business needs into projects.
• Identify opportunities for utilizing machine learning to improve healthcare outcomes.
• Stay abreast of advancements in machine learning and RWE.
• Ensure the quality and security of RWE data.
• Develop best practices for machine learning model development.
• Communicate complex concepts to stakeholders clearly.
• Manage relationships with external partners and vendors.
• Stay updated with industry trends and regulations.

Requirements

• Proven experience in machine learning and data science.
• Strong leadership and team management skills.
• Expertise in Real-World Evidence and healthcare analytics.
• Excellent communication and collaboration abilities.
• Ability to translate complex data into actionable insights.
• Familiarity with emerging technologies in machine learning.
• Understanding of data integrity and security practices.
• Experience in managing external partnerships.
• Knowledge of industry regulations and ethical considerations.
• Advanced degree in a relevant field is preferred.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health benefits.
• Flexible work arrangements including remote work.
• Opportunities for professional development and training.
• Collaborative and innovative work environment.
• Access to cutting-edge technologies and resources.
• Supportive leadership and mentorship.
• Engagement in meaningful projects that impact healthcare.
• Work with a talented and diverse team.
• Potential for career advancement within the organization.