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Data Science In Healthcare Jobs in Kentucky (NOW HIRING)

Sr Data Scientist

KY · On-site

$130K - $145K/yr

Together, we're creating healthier communities and a cleaner planet, and our people are the driving ... Bachelor's degree in a Quantitative discipline. Ex: Data Science, Data Analytics, Applied ...

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

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Data Science In Healthcare information

See Kentucky salary details

$40K

$143.3K

$211.5K

How much do data science in healthcare jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data science in healthcare in Kentucky is $143,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $147,600.00 per year, depending on experience, location, and employer.

Can a data scientist work in healthcare?

A data scientist can work in healthcare by analyzing medical data, developing predictive models, and supporting clinical decision-making. Skills in machine learning, statistical analysis, and familiarity with healthcare data standards like HIPAA are important for this role.

Who has more salary, a doctor or a data scientist?

Generally, doctors tend to have higher salaries than data scientists, especially in specialized medical fields. Data scientists in healthcare can earn competitive salaries, particularly with advanced skills in machine learning and healthcare analytics, but overall, medical doctors often have higher compensation due to their extensive training and responsibilities.

Is 30 too late for data science?

Data science in healthcare is accessible at any age, including at 30, especially with relevant skills in programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training, making age less of a barrier than skill and experience.

How can data science be used in health care?

Data science in healthcare involves analyzing large datasets to improve patient outcomes, optimize treatment plans, and enhance operational efficiency. Healthcare data scientists use tools like machine learning and statistical models to identify patterns, predict disease trends, and support clinical decision-making.
What are popular job titles related to Data Science In Healthcare jobs in Kentucky? For Data Science In Healthcare jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Science In Healthcare jobs in Kentucky look for? The top searched job categories for Data Science In Healthcare jobs in Kentucky are:
Infographic showing various Data Science In Healthcare job openings in Kentucky as of June 2026, with employment types broken down into 2% As Needed, 73% Full Time, 11% Part Time, and 14% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $143,323 per year, or $68.9 per hour.
Principal Enterprise Solution Architect, AI Health Cloud

Principal Enterprise Solution Architect, AI Health Cloud

BrightSpring Health Services

Louisville, KY • On-site

Full-time

Posted 10 days ago


BrightSpring Health Services rating

4.6

Company rating: 4.6 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

213th of 228 rated social care providers


Job description

Our Company

BrightSpring Health Services

Overview

We are seeking a highly experienced and hands-on Principal Enterprise Architect to lead the full stack design and integration of advanced AI/ML platform and solution architectures within our AI-enabled Health Cloud Platform. This role combines deep expertise in end to end systems architecture, platform engineering, and integration/API design, enabling seamless, secure, and scalable AI/ML healthcare applications.

You will play a critical role in shaping both the technical foundation of the platform and the delivery of intelligent healthcare solutions, ensuring that AI capabilities such as Generative AI, Agentic AI, RPA, and fine-tuned RAG/Vector DB models are effectively embedded into clinical and pharmacy workflows.

Responsibilities
  • Architect and lead the full stack implementation of end-to-end AI/ML platform and solution architectures, ensuring seamless integration with enterprise systems and healthcare data sources.
  • Design and develop robust, scalable APIs and microservices using technologies such as .NET, C#, and RESTful services.
  • Define and enforce platform and integration architecture standards, including data contracts, API security, service orchestration, and interoperability.
  • Collaborate with AI/ML engineers, product managers, API, and data engineers to translate business and clinical requirements into cloud-native, reusable platform capabilities and solution-specific workflows.
  • Architect and optimize LLM-based systems, including RAG pipelines, vector databases, and agentic AI frameworks (e.g., LangChain, AutoGen).
  • Design and evolve the AI/ML platform architecture, including model lifecycle management, orchestration layers, and reusable AI services.
  • Ensure all solutions and platform components are HIPAA-compliant, secure, and aligned with healthcare interoperability standards (FHIR, HL7 etc.).
  • Evaluate and integrate third-party AI services, open-source tools, and cloud-native components into the platform.
  • Provide architectural leadership across model training, deployment, monitoring, and retraining, ensuring scalability and performance.
Qualifications
  • 10+ years of experience in solution and platform architecture, with a strong focus on AI/ML systems and enterprise integration.
  • 15+ years in overall solution architecture.
  • Proven experience designing and delivering AI-powered healthcare or pharmacy platforms and solutions.
  • Experience with multi-agent systems, RPA tools, and intelligent automation in healthcare.
  • Strong experience with API development and integration using .NET, C#, and modern API frameworks.
  • Deep understanding of cloud platforms (Azure preferred), containerization (Docker, Kubernetes), and MLOps practices.
  • Expertise in Generative AI, RAG architectures, vector databases, and agentic AI orchestration.
  • Expertise in healthcare data standards and secure data handling practices.
  • Excellent communication and stakeholder engagement skills.

Preferred Qualifications:

  • Background in AI/ML engineering, data science, or biomedical informatics.
  • Knowledge of responsible AI, model explainability, and bias mitigation.
  • Advanced degree (MS or PhD) in Computer Science, AI/ML, or a related field.
About our Line of BusinessBrightSpring Health Services provides complementary home- and community-based health solutions for complex populations in need of specialized and/or chronic care. Through the Company's service lines, including pharmacy, home health care, and rehabilitation, we provide comprehensive and more integrated care and clinical solutions in all 50 states to over 475,000 customers, clients and patients daily. BrightSpring has consistently demonstrated strong and industry-leading quality metrics across its services lines, while improving the health and quality of life for high-need individuals and reducing overall healthcare system costs. For more information, please visit www.brightspringhealth.com. Follow us on Facebook, LinkedIn, and X.Additional Job Information

Why Join Us?

  • Architect the future of AI in healthcare by shaping both platform capabilities and solution delivery.
  • Collaborate with a forward-thinking team of engineers, clinicians, and product leaders.
  • Enjoy a highly competitive compensation and benefits package.
  • Be part of a mission-driven organization focused on transforming healthcare through intelligent technology.
Employment Type: FULL_TIME

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