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Phd Biomedical Science Jobs in Kentucky (NOW HIRING)

Novartis Farmacéutica

$249 - $462/hr

... Biomedical Research (BR), Development, Strategy & Growth (S&G), and the Commercial US and ... PhD, MD or other advanced University degree) and / or equivalent experience in life science/health ...

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Phd Biomedical Science information

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How much do phd biomedical science jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for phd biomedical science in Kentucky is $24.77, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $27.98 per hour, depending on experience, location, and employer.

How much can you make with a PhD in biomedical science?

A PhD in biomedical science typically leads to research, academic, or industry roles with salaries ranging from $70,000 to over $120,000 annually, depending on experience, location, and specific job responsibilities. Senior positions or those in biotech and pharmaceutical companies tend to offer higher compensation, especially with additional skills in data analysis or laboratory management.

Is a PhD in biomedical science worth it?

A PhD in biomedical science prepares individuals for research, academia, and specialized roles in healthcare and biotech industries. It involves extensive training in laboratory techniques, data analysis, and scientific communication, often requiring several years of study. While it can lead to high-level positions, the career benefits depend on personal goals and the job market demand for research expertise.

What can I do with a PhD in biomedical science?

A PhD in biomedical science prepares individuals for careers in research, academia, biotechnology, pharmaceuticals, and healthcare industries. Graduates often work as research scientists, university professors, clinical trial managers, or regulatory affairs specialists, utilizing skills in experimental design, data analysis, and laboratory techniques.

What are popular job titles related to Phd Biomedical Science jobs in Kentucky?

For Phd Biomedical Science jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Phd Biomedical Science jobs in Kentucky look for?

The top searched job categories for Phd Biomedical Science jobs in Kentucky are:

Phd Biomedical Science jobs near you
Infographic showing various Phd Biomedical Science job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $51,532 per year, or $24.8 per hour.

Principal Enterprise Architect, AI Health Cloud

BrightSpring Health Services

Louisville, KY • On-site

$218K/yr

Full-time

Re-posted 3 days ago

BrightSpring Health Services rating

4.9

Company rating: 4.9 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

219th of 242 rated social care providers

Job description

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.

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