Head Of Machine Learning - RWE - EUROPE
April 24
Description
• 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
Requirements
• 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
Benefits
• Competitive salary • Health insurance • Retirement plan • Employee wellness programs
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