Clinical Data Expert

7 days ago

Concord, New Hampshire, United States CVS Health Full time

At CVS Health, we're committed to delivering enhanced human-centric healthcare for a rapidly changing world. As a Clinical AI team member, you'll play a critical role in activating our clinical data to improve outcomes across multiple lines of business and use cases.

Key Responsibilities:

  • Design, develop, validate, implement, and support predictive models and algorithms that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes.
  • Lead data scientists, data engineers, machine learning engineers, and product owners to design and implement analytics solutions.
  • Utilize natural language processing (NLP) and large language models (LLMs) to extract insights and features from unstructured clinical data.
  • Lead development of the clinical data feature store, which aims to accelerate adoption of future use cases utilizing clinical data.
  • Explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.
  • Develop end-to-end analytics solutions, from developing problem statements to deploying models into production.
  • Build dashboards and data visualizations to effectively communicate analysis results and support decision-making processes.
  • Translate problem statements from business partners into conceptual solutions, analyze feasibility, and estimate work efforts for analytical use cases early in their lifecycle.
  • Create documentation of project details, like problem statements, business outcomes, data exploration, ML model details, and deployment/support instructions.
  • Develop and lead presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions.
  • Provide technical coaching and development to data scientists.
  • Foster a team culture of innovation and collaboration.

Requirements:

  • 7+ years of relevant analytics experience.
  • Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.
  • Experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.
  • Experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.
  • Experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer to implement scalable analytics solutions.
  • Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation.
  • Demonstrates strong written and verbal communication skills, including the ability to present complex ideas to various audiences.

Preferred Qualifications:

  • Experience solving analytics problems in the healthcare domain using clinical data.

Education:

  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master's degree preferred.

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