Lead Data Scientist – Clinical AI

Lead Data Scientist – Clinical AI

Requirements

• 7+ years of relevant analytics experience.
• 7+ years’ experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.
• 5+ years’ experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.
• 5+ years’ experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.
• 5+ years’ experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer to implement scalable analytics solutions.

Responsibilities

• 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.

Preferred Qualifications

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