Senior Machine Learning Strategist
vor 2 Wochen
Luminary Group is seeking a visionary Senior Machine Learning Strategist to spearhead our initiatives in Real-World Evidence (RWE) analysis. Reporting directly to the executive leadership, this key hire will drive the implementation of machine learning models and algorithms to derive meaningful insights from RWE data for the healthcare industry.
Key Responsibilities:- Lead and Inspire a Team: Foster a high-performing team of machine learning engineers and data scientists to develop cutting-edge solutions for RWE analysis.
- Define the Machine Learning Strategy: Collaborate with cross-functional teams to establish a comprehensive machine learning roadmap and vision within the RWE domain.
- Translate Business Needs into Actionable Projects: Work closely with stakeholders to identify business opportunities and translate them into actionable projects.
- Identify Opportunities for Innovation: Stay abreast of the latest advancements in machine learning and RWE, and lead the evaluation and adoption of emerging technologies.
- Evaluate and Adopt Emerging Technologies: Ensure the quality, integrity, and security of RWE data used in machine learning models.
- Develop and Maintain Best Practices: Develop and maintain best practices and standards for machine learning model development, deployment, and monitoring.
- Communicate Complex Concepts: Communicate complex machine learning concepts and results to stakeholders in a clear and concise manner.
- Manage Relationships: Manage relationships with external partners, vendors, and key stakeholders to drive collaborative initiatives.
- Stay Up-to-Date with Industry Trends: Stay current 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.
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