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Masters In Biomedical Science Jobs in Norfolk, VA

Bachelors or Masters degree in Data Science, Computer Science, Data Engineering, Mathematics, Statistics, Engineering, Information Systems, or a related discipline. * Active Secret Clearance required;

Nurse Practitioner/Physician Assistant

Norfolk, VA · On-site

$105K - $136K/yr

Masters in Science of Nursing /PA Additional Information Scheduled Weekly Hours: 40 Pay Range: $123,800 - $170,300 per year This job is eligible for a bonus incentive plan. This incentive opportunity ...

Masters Degree preferred (In lieu of the Master's degree, ten (10) years of industry experience in data science may be substituted. (Note: Education equivalency experience is in addition to the ...

Showing results 21-40

Masters In Biomedical Science information

See Norfolk, VA salary details

$68.7K

$102.7K

$151.9K

How much do masters in biomedical science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for masters in biomedical science in Norfolk, VA is $102,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $151,900.00 per year, depending on experience, location, and employer.

What can you do with a master's in biomedical science?

A Masters in Biomedical Science prepares graduates for a variety of careers in healthcare, research, pharmaceuticals, biotechnology, and academia. With this degree, you can work as a research scientist, laboratory manager, clinical trials coordinator, or pursue further studies such as a PhD or medical degree. Graduates also find roles in regulatory affairs, medical writing, and public health organizations. The degree provides specialized knowledge and technical skills that are highly valued in both industry and academic settings.

What types of career paths can a professional with a master's in biomedical science pursue within the healthcare and research sectors?

With a Master's in Biomedical Science, you can pursue a variety of roles such as research scientist, clinical laboratory technologist, regulatory affairs specialist, and medical science liaison. Many graduates work in hospitals, academic research labs, biotechnology firms, or pharmaceutical companies, often collaborating with clinicians, researchers, and regulatory professionals. The work environment is typically team-oriented and project-driven, offering opportunities to participate in cutting-edge research, support clinical trials, or ensure compliance with healthcare regulations. This degree also provides a strong foundation for further study, such as pursuing a PhD or professional healthcare degree.

What are the key skills and qualifications needed to thrive with a master's in biomedical science?

A Master's in Biomedical Science requires a solid background in biology, laboratory research methods, and data analysis, usually supported by a relevant undergraduate degree. Familiarity with laboratory equipment, molecular biology techniques, and software such as SPSS or GraphPad Prism is common in this field. Critical thinking, attention to detail, and effective communication set professionals apart when interpreting results and presenting findings. These skills are crucial for conducting accurate research, advancing scientific knowledge, and contributing to healthcare innovations.

Is a master's in biomedical science worth it?

A master's in biomedical science can enhance job prospects in research, healthcare, and biotech fields, often leading to roles such as laboratory technician, research associate, or clinical scientist. It provides specialized knowledge and skills that are valued by employers, but the value depends on career goals and industry demand.

What is the difference between Masters In Biomedical Science vs Medical Laboratory Technician?

AspectMasters In Biomedical ScienceMedical Laboratory Technician
Required CredentialsMaster's degree in biomedical science or related fieldAssociate's degree or post-secondary certificate in medical laboratory technology
Work EnvironmentResearch labs, universities, biotech companiesHospital labs, diagnostic labs, clinics
Employer & Industry UsageResearch institutions, academia, biotech firmsHealthcare facilities, hospitals, diagnostic centers

Masters In Biomedical Science typically involves advanced research and laboratory work in biomedical fields, often requiring a master's degree. Medical Laboratory Technicians focus on performing diagnostic tests in clinical settings with an associate's or certificate. Both roles are essential in healthcare and research, but they differ in education level, job responsibilities, and work environment.

What are popular job titles related to Masters In Biomedical Science jobs in Norfolk, VA? For Masters In Biomedical Science jobs in Norfolk, VA, the most frequently searched job titles are:
What job categories do people searching Masters In Biomedical Science jobs in Norfolk, VA look for? The top searched job categories for Masters In Biomedical Science jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Masters In Biomedical Science jobs? Cities near Norfolk, VA with the most Masters In Biomedical Science job openings:
Infographic showing various Masters In Biomedical Science job openings in Norfolk, VA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 26% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $102,743 per year, or $49.4 per hour.

Data Science

Altagrove LLC

Norfolk, VA • On-site

Full-time

Re-posted 10 days ago


Job description

Salary:

Who we are:


Altagrove delivers smart and innovative technology solutions that create competitive advantages for our customers and their missions. Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic and entrepreneurial team that is executing on a variety of projects that are technology oriented. A successful candidate will bring a core area of expertise and a passion for learning and implementing new ideas in a start-up environment.


Follow us at -https://www.linkedin.com/company/altagrove


What you will do:


  • Design, develop, deploy, and maintain AI-enabled analytics solutions supporting operational and strategic mission objectives.
  • Build and optimize enterprise data pipelines, ingestion frameworks, transformation workflows, and integration services supporting analytics and AI platforms.
  • Develop machine learning models, predictive analytics capabilities, and decision-support solutions using structured and unstructured data.
  • Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities.
  • Develop scalable data architectures, metadata enrichment pipelines, indexing services, and retrieval systems supporting enterprise knowledge exploitation.
  • Collaborate with mission stakeholders, engineers, and technical teams to identify high-value AI and data-driven use cases.
  • Conduct data exploration, feature engineering, model training, validation, testing, and performance optimization activities.
  • Design and implement ETL/ELT processes supporting operational, analytical, and machine learning workloads.
  • Develop dashboards, visualizations, reports, and analytical products that communicate insights to technical and non-technical stakeholders.
  • Support cloud-native and hybrid data environments leveraging AWS, Azure, Kubernetes, and modern data engineering technologies.
  • Implement data quality controls, monitoring solutions, security controls, and governance practices across enterprise data environments.
  • Work closely with Cloud Engineers, DevSecOps Engineers, and Software Developers to support end-to-end solution delivery.
  • Research emerging AI, machine learning, and data engineering technologies and recommend innovative applications for customer missions.
  • Support technical documentation, architecture development, operational procedures, training materials, and knowledge transfer activities.


What you will bring:


  • Experience developing and deploying advanced analytics, machine learning, artificial intelligence, or enterprise data engineering solutions within government, defense, intelligence, or highly regulated environments.
  • Strong proficiency in Python and experience with modern data science and engineering frameworks.
  • Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar technologies.
  • Experience designing and maintaining enterprise data pipelines, ETL/ELT workflows, and data integration architectures.
  • Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering concepts.
  • Experience working with SQL, NoSQL, data lakes, data warehouses, and cloud-native data platforms.
  • Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
  • Understanding of data governance, metadata management, data quality, security, and compliance principles.
  • Experience with containerization technologies, Kubernetes, DevSecOps practices, and Infrastructure-as-Code is highly desirable.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to collaborate effectively across multidisciplinary engineering and mission teams.
  • Experience supporting NATO, DoD, Intelligence Community, or other national security organizations is highly desired.
  • Bachelors or Masters degree in Data Science, Computer Science, Data Engineering, Mathematics, Statistics, Engineering, Information Systems, or a related discipline.
  • Active Secret Clearance required; TS/SCI or NATO Secret preferred.
  • Exceptional attention to detail and organizational skills.