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 ...
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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 ...
... MS program. The course is designed so students provide critical summary and presentations of the ... S. or higher degree is required in biomedical sciences field; Systems Medicine background preferred.
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... MS program. The course is designed so students provide critical summary and presentations of the ... S. or higher degree is required in biomedical sciences field; Systems Medicine background preferred.
New
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
... MS Office applications, Concur, NAM Customer Service website-Engineer Tools). * 2+ years ... When you join Siemens Healthineers, you become one in a global team of scientists, clinicians ...
... MS Office applications, Concur, NAM Customer Service website-Engineer Tools). * 2+ years ... When you join Siemens Healthineers, you become one in a global team of scientists, clinicians ...
Ms Biomedical Science information
See Kentucky salary details
$13.36 - $15.22
0% of jobs
$15.22 - $17.08
3% of jobs
$17.08 - $18.94
8% of jobs
$18.94 - $20.80
10% of jobs
$21.24 is the 25th percentile. Wages below this are outliers.
$20.80 - $22.66
19% of jobs
The median wage is $23.84 / hr.
$22.66 - $24.52
16% of jobs
$24.52 - $26.38
13% of jobs
$27.35 is the 75th percentile. Wages above this are outliers.
$26.38 - $28.24
12% of jobs
$28.24 - $30.10
9% of jobs
$30.10 - $31.96
6% of jobs
$31.96 - $33.82
4% of jobs
$13
$24
$33
How much do ms biomedical science jobs pay per hour?
As of Aug 8, 2026, the average hourly pay for ms 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.
Is it worth doing a master's in biomedical science?
A master's in biomedical science can enhance job prospects for biomedical scientists by providing advanced knowledge, research skills, and specialization. It often leads to higher-level positions, research opportunities, and increased earning potential in healthcare, research institutions, and biotech companies.
What is the difference between Ms Biomedical Science vs BSc Biomedical Science?
| Aspect | Ms Biomedical Science | BSc Biomedical Science |
|---|---|---|
| Required Credentials | Master's degree in Biomedical Science or related field | Bachelor's degree in Biomedical Science |
| Work Environment | Laboratories, research facilities, hospitals | Laboratories, research centers, healthcare settings |
| Employer & Industry Usage | Research institutions, hospitals, biotech companies | Universities, hospitals, diagnostic labs |
| Common Search & Comparison | Higher qualification, research roles, specialization | Entry-level, undergraduate roles, foundational knowledge |
The main difference between Ms Biomedical Science and BSc Biomedical Science lies in the level of education and career opportunities. An Ms Biomedical Science typically prepares individuals for advanced research, specialized roles, and higher-level positions, while a BSc Biomedical Science provides foundational knowledge suitable for entry-level roles in laboratories and healthcare settings.
What can I do with an MS in biomedical science?
An MS in biomedical science prepares individuals for roles such as biomedical scientist, research associate, or laboratory technician, involving work in research labs, healthcare settings, or pharmaceutical companies. It often requires knowledge of laboratory techniques, data analysis, and familiarity with scientific tools and regulations. Graduates can pursue careers in research, diagnostics, or clinical trials, sometimes requiring additional certifications or licensing depending on the role.
What are popular job titles related to Ms Biomedical Science jobs in Kentucky? For Ms Biomedical Science jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Ms Biomedical Science jobs in Kentucky look for? The top searched job categories for Ms Biomedical Science jobs in Kentucky are:
$218K/yr
Full-time
Posted 23 days ago
BrightSpring Health Services rating
4.8
Based on 62 frontline employees who took The Breakroom Quiz
220th of 239 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.
What BrightSpring Health Services employees say
Pay
Benefits
Hours and flexibility
Workplace
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About BrightSpring Health Services
Sourced by ZipRecruiter
Industry
Health care and social assistance
Company size
10,000+ Employees
Headquarters location
Louisville, KY, US
Year founded
1974