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Biomedical Science Government Jobs in Virginia (NOW HIRING)

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

... and government stakeholders. Required Qualifications * Bachelor's degree in Data Science ... Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or ...

... biomedical engineering, regulatory science, or a related scientific discipline and at least 4 years ... We work with a broad range of government agencies in the defense, intelligence, and federal ...

Executive Support Specialist - HHS ASPR BARDA Softtek Government Solutions is looking for an ... Personnel on the Critical Operations, Research & Expertise (CORE), Scientific and Programmatic ...

Softtek Government Solutions is looking for an Executive Support Specialist to support an HHS ... Personnel on the Critical Operations, Research & Expertise (CORE), Scientific and Programmatic ...

Radiology Technologist

Portsmouth, VA ยท On-site

$35.29 - $45/hr

... health, science, and technology solutions supporting clients in the government and commercial ... Report problems to the Biomedical Repair Section and record the problem condition in the trouble ...

Radiology Technologist

Portsmouth, VA ยท On-site

$35.29 - $45/hr

... health, science, and technology solutions supporting clients in the government and commercial ... Report problems to the Biomedical Repair Section and record the problem condition in the trouble ...

Showing results 21-40

Biomedical Science Government information

See Virginia salary details

$15

$28

$38

How much do biomedical science government jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for biomedical science government in Virginia is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $31.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Biomedical Science Government role?

To thrive in a Biomedical Science Government role, you typically need a degree in biomedical sciences or a related field, experience with laboratory techniques, and knowledge of public health or regulatory standards. Familiarity with laboratory information management systems (LIMS), bioinformatics tools, and relevant certifications such as CLIA or CAP compliance can be important. Attention to detail, strong analytical skills, and effective communication are key soft skills for success in this position. These competencies are critical for ensuring high standards in public health research, regulatory compliance, and collaboration with multidisciplinary government teams.

What kind of job can I get with a biomedical science degree?

A biomedical science degree can lead to roles such as biomedical scientist, clinical laboratory technician, research associate, or healthcare scientist. These positions often require laboratory skills, knowledge of biology and chemistry, and sometimes professional certifications or postgraduate training.

What are typical career development opportunities for someone in a Biomedical Science Government role?

Professionals in Biomedical Science Government roles often have access to diverse career advancement pathways, such as moving into supervisory or managerial positions, specializing in policy development, or leading large-scale public health research projects. Many agencies encourage continued education and professional development, which can include advanced training, certifications, or involvement in cross-departmental initiatives. Team-based collaboration is common, and taking on leadership assignments or project management can further broaden your skill set. As you gain experience, you may also have the opportunity to influence public health policies, guide regulatory standards, or participate in high-impact scientific advisory committees.

What is a Biomedical Science Government?

A Biomedical Science Government job involves applying scientific research and laboratory skills to public health, regulatory, or policy-related roles. Professionals in this field may work for government agencies, conducting research, managing public health programs, ensuring compliance with safety regulations, or developing policies related to healthcare and biomedical advancements. These roles are crucial for supporting public health initiatives, disease prevention, and medical innovation.

Infographic showing various Biomedical Science Government job openings in Virginia as of August 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $58,824 per year, or $28.3 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA โ€ข On-site

$100K - $120K/yr

Full-time

Re-posted 19 days ago


Job description


Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1–3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities
  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications
  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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