Lead Data Scientist - Remote (Data Scientist IV) As the Lead Data Scientist for the Myriad Data Services Team, you will be responsible for establishing and developing the data science program. You will work cross-functionally with RandD, technology, and business operations teams to implement data-driven solutions that enhance patient care, drive business insights, and improve operational efficiencies. This role requires a strategic and innovative leader with strong technical expertise in data science, artificial intelligence (AI), and machine learning (ML), capable of driving impactful solutions across both scientific and business functions. Key Responsibilities: Program Development and Leadership: * Lead the development and implementation of Myriad's data science strategy, with a focus on both scientific research and business operations. * Build and lead a team of data scientists to support key business and research objectives. * Foster collaboration between RandD, technology, and business operations teams to ensure data science, AI, and ML initiatives align with the broader goals of the organization. * Work closely with the business team to refine requirements and build success criteria * Promote best practices in data science and analytics. Data Science and Machine Learning Solutions: * Create, maintain, and refine predictive models and machine learning algorithms to analyze large datasets from diverse sources, including patient records, molecular assays, clinical information, and business operations data. * Develop advanced data tools and pipelines for processing, cleaning, and analyzing complex datasets, both scientific and operational (e.g., customer data, sales, financial metrics). * Utilize AI and ML techniques to drive process automation, enhance decision-making, and deliver insights for improving operational performance across marketing, sales, finance, and supply chain functions. Infrastructure and Platform Development: * Design and implement scalable, efficient machine learning technology stack to support ongoing machine learning needs for both scientific and business operations. * Lead MLOps initiatives to streamline the model lifecycle, including continuous integration, deployment, and monitoring in production environments. * Ensure reliability and scalability of machine learning platforms through automation, adherence to industry best practices, and cutting-edge AI/ML solutions. * Collaborate with cloud teams to maintain and enhance AWS and DNAnexus platforms for seamless data integration, model deployment, and process optimization. Business Operations Focus: * Leverage data science, AI, and ML to provide actionable insights that drive improvements in customer experience, sales forecasting, and operational efficiency. * Develop models to support business operations in areas such as demand forecasting, customer segmentation, churn prediction, and resource allocation. * Use advanced analytics to identify business trends, optimize pricing strategies, and enhance marketing... For full info follow application link.

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