Lead Data Scientist , Clinical AI - Remote

Work At Home-New York

CVS Health

America's leading health solutions company, CVS Health® provides advanced health care from pharmacy services and health plans to health and wellness.

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Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

The Clinical AI team is tasked with activating CVS Health’s clinical data to improve outcomes across multiple lines of business and use cases. As a Lead Data Scientist, you will…

  • be a subject matter expert in clinical data and how to apply it to solve health care problems.

  • 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 solution.

  • 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.


Required Qualifications

  • 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.

Pay Range

The typical pay range for this role is:

$106,605.00 - $284,280.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. 
 
For more detailed information on available benefits, please visit Benefits | CVS Health

We anticipate the application window for this opening will close on: 11/15/2024

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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Tags: BigQuery Business Analytics Computer Science Dataproc Economics Engineering GCP Generative AI Google Cloud LLMs Machine Learning Mathematics NLP Physics Statistics Vertex AI

Perks/benefits: Career development Equity / stock options Health care Insurance Salary bonus

Regions: Remote/Anywhere North America
Country: United States

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