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Entry Level Biomedical Data Analyst Jobs in Washington, DC

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or ...

Axle

Data Engineer

Rockville, MD

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

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Showing results 21-40

All JobsBiomedical Data Analyst JobsEntry Level Biomedical Data Analyst JobsEntry Level Biomedical Data Analyst Jobs in Washington, DC

Entry Level Biomedical Data Analyst information

See Washington, DC salary details

$14

$37

$69

How much do entry level biomedical data analyst jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for entry level biomedical data analyst in Washington, DC is $37.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $41.63 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Biomedical Data Analyst vs Entry Level Data Scientist?

AspectEntry Level Biomedical Data AnalystEntry Level Data Scientist
Required CredentialsBachelor's in biology, health sciences, or related field; basic knowledge of data analysis toolsBachelor's in computer science, statistics, or related; programming skills in Python/R
Work EnvironmentHealthcare, research labs, biotech companiesTech firms, research institutions, healthcare analytics
Employer & Industry UsageMedical research, biotech, pharmaceuticalsTech companies, finance, healthcare, consulting

While both roles involve data analysis, Entry Level Biomedical Data Analysts focus on healthcare and biological data, often requiring knowledge of medical terminologies and health sciences. Entry Level Data Scientists have broader applications across industries, emphasizing programming and statistical modeling skills. The choice depends on your industry interest and technical background.

What are the most commonly searched types of Biomedical Data Analyst jobs in Washington, DC?

The most popular types of Biomedical Data Analyst jobs in Washington, DC are:

What are popular job titles related to Entry Level Biomedical Data Analyst jobs in Washington, DC?

For Entry Level Biomedical Data Analyst jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Entry Level Biomedical Data Analyst jobs in Washington, DC look for?

The top searched job categories for Entry Level Biomedical Data Analyst jobs in Washington, DC are:

Entry Level Biomedical Data Analyst jobs near you
Infographic showing various Entry Level Biomedical Data Analyst job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $77,568 per year, or $37.3 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 29 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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