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Job ID 2122407
Job Description
Luminary Group is thrilled to offer a remarkable opportunity for a distinguished Head of Machine Learning with a solid background in Real-World Evidence (RWE) to join our esteemed organization. As a key member of our executive team, you will be instrumental in shaping the strategic direction, fostering innovation, and executing machine learning models and algorithms that extract valuable insights from RWE data within the healthcare sector.
Key Responsibilities:
- Lead and motivate a dynamic team of skilled machine learning engineers and data scientists to craft innovative machine learning solutions focused on RWE analysis.
- Establish and implement a comprehensive machine learning strategy, roadmap, and vision tailored to the RWE landscape.
- Collaborate with various teams to discern business requirements and convert them into practical, actionable projects.
- Identify and leverage opportunities to utilize machine learning, driving innovation and enhancing healthcare outcomes.
- Keep up-to-date with the latest developments in machine learning and RWE, and spearhead the evaluation and integration of cutting-edge technologies.
- Safeguard the quality, integrity, and security of RWE data utilized in machine learning initiatives.
- Formulate and uphold best practices and standards for the development, deployment, and monitoring of machine learning models.
- Convey complex machine learning concepts and outcomes to stakeholders in a concise and comprehensible manner.
- Cultivate and manage relationships with external partners, vendors, and key stakeholders to foster collaborative projects.
- Remain informed on industry trends, regulatory guidelines, and ethical considerations surrounding RWE and machine learning practices.
Qualifications:
- Bachelor’s degree in computer science, data science, or a related discipline; advanced degrees (MS, PhD) are strongly preferred.
- At least 8 years of experience in machine learning, data science, or a related field, specifically within healthcare and real-world evidence (RWE).
- Proven leadership in managing high-performance teams in machine learning or data science arenas.
- Strong grasp of machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python or R, alongside experience with leading machine learning libraries and frameworks.
- Familiarity with big data technologies, distributed computing frameworks, and cloud platforms is advantageous.
- Exceptional analytical and problem-solving abilities, along with a knack for devising innovative solutions to intricate issues.
- Strong communication and leadership prowess, with the ability to inspire and influence teams and stakeholders alike.
- Experience in the healthcare sector and knowledge of healthcare data standards is highly desirable.
- A record of publications and active involvement in relevant conferences or communities is a bonus.
Join Luminary Group and play a pivotal role in revolutionizing healthcare through the power of machine learning and real-world evidence!