Head Of Machine Learning - Real World Evidence - United States
Head Of Machine Learning - Real World Evidence - United States
Luminary Group
San Francisco, CA
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See who Luminary Group has hired for this role
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.
Responsibilities:
Responsibilities:
- Lead and inspire a team of talented machine learning engineers and data scientists to develop cutting-edge machine learning solutions for RWE analysis
- Define and execute the machine learning strategy, roadmap, and vision within the RWE domain
- Collaborate with cross-functional teams to understand business needs and translate them into actionable projects
- Identify opportunities for utilizing machine learning to drive innovation and improve healthcare outcomes
- Stay abreast of the latest advancements in machine learning and RWE, and lead the evaluation and adoption of emerging technologies
- Ensure the quality, integrity, and security of RWE data used in machine learning models
- Develop and maintain best practices and standards for machine learning model development, deployment, and monitoring
- Communicate complex machine learning concepts and results to stakeholders in a clear and concise manner
- Manage relationships with external partners, vendors, and key stakeholders to drive collaborative initiatives
- Stay up-to-date with industry trends, regulations, and ethical considerations related to RWE and machine learning
- Bachelor's degree in computer science, data science, or a related field; advanced degree (MS, PhD) strongly preferred
- Minimum of 8 years of experience in machine learning, data science, or a related field, with a focus on healthcare and real-world evidence (RWE)
- Proven track record of leading and managing high-performing teams in machine learning or data science
- Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques
- Expertise in programming languages such as Python or R, and proficiency in machine learning libraries and frameworks
- Experience with big data technologies, distributed computing frameworks, and cloud platforms is preferred
- Strong analytical and problem-solving skills, with the ability to develop innovative solutions to complex problems
- Excellent communication and leadership skills, with the ability to influence and inspire teams and stakeholders
- Experience in the healthcare industry and familiarity with healthcare data standards is highly desired
- Publication record and active participation in relevant conferences or communities is a plus
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Seniority level
Director -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Primary and Secondary Education and Non-profit Organizations
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