Generative AI Data Scientist Senior

Job Summary

We are looking for a talented and experienced data scientist to join our AI Center of Excellence and lead the development and deployment of large language models (LLMs) and other emerging AI technologies. You will be responsible for building the framework to enable internal development and deployment of LLMs and other generative AI solutions, as well as overseeing and engaging with vendors who are working to deploy their LLM solutions at Corewell Health. You will ensure that we can monitor, support, maintain, and enhance vendor-deployed generative AI solutions, in addition to extend LLMs internally.

Essential Functions

• Work with our key vendor partners, such as Epic, AWS, Azure, and Snowflake, to design, develop, test, and deploy the framework to enable internal development and deployment of LLMs and other generative AI solutions.
• Research and evaluate the latest trends and best practices in LLMs and other emerging AI technologies, particularly focusing on the application in medicine.
• Collaborate with internal stakeholders and external vendors to define the requirements and specifications for LLMs and other generative AI solutions.
• Oversee and engage with vendors who are working to deploy their LLM solutions at Corewell Health and ensure that they adhere to our standards and expectations.
• Monitor, support, maintain, and enhance vendor-deployed generative AI solutions, and troubleshoot any issues or problems that may arise.
• Provide guidance and mentorship to other AI developers and engineers in the AI Center of Excellence.
• Provide education on use-case specific generative AI tools to relevant stakeholders to ensure effective use of AI solutions.

Qualifications

Required

• Master's Degree or equivalent training in a quantitative discipline – Data Science, Computer Science, Statistics, Mathematics, or related field. Similar certified online education or work experience will be considered on a case-by-case basis
• 5 years of relevant experience in health care, data science, statistics, or a related field. Demonstrated ability to lead projects, mentor junior team members, and develop complex data-driven solutions.
• Proficient in Python and SQL.
• Proficient in health care data exchange models such as FIHR, HL7, and Epic APIs.
• Proficient in Epic data models such as Chronicles, Clarity, and Caboodle.
• Strong experience working with clinical teams developing data science or data analytics solutions.
• Familiar with cloud platforms, such as Snowflake, AWS, Azure, or Google Cloud, and their services and tools for LLMs or other generative AI solutions.
• Knowledgeable in natural language processing, natural language generation, text summarization, text analysis, or other related domains.
• Excellent communication, collaboration, and problem-solving skills.
• Passionate about AI and innovation, and eager to learn and grow.

About Corewell Health

As a team member at Corewell Health, you will play an essential role in delivering personalized health care to our patients, members and our communities. We are committed to cultivating and investing in YOU. Our top-notch teams are comprised of collaborators, leaders and innovators that continue to build on one shared mission statement - to improve health, instill humanity and inspire hope. Join a nationally recognized health system with an ambitious vision of continued advancement and excellence.

How Corewell Health cares for you

• Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn more here.

• On-demand pay program powered by Payactiv

• Discounts directory with deals on the things that matter to you, like restaurants, phone plans, spas, and more!

• Optional identity theft protection, home and auto insurance, pet insurance

• Traditional and Roth retirement options with service contribution and match savings

• Eligibility for benefits is determined by employment type and status

Primary Location

SITE - Corewell Health Place - 100 Corewell Drive NW - Grand Rapids

Department Name

Data Scientists Team

Employment Type

Full time

Shift

Day (United States of America)

Weekly Scheduled Hours

40

Hours of Work

8:00 a.m. to 5:00 p.m.

Days Worked

Monday to Friday

Weekend Frequency

N/A

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