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Junior Data Scientist Biotech Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

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 ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

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 ...

SupportFinity

Junior Data Scientist

San Francisco, CA · Remote

$10K - $12K/yr

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and turning numbers into clear stories. In this friendly, creative team, you'll dive into data's mysteries ...

Lentech Inc

Junior Data Scientist

Fort George G Meade, MD · On-site

$131K - $140K/yr

Lentech is actively interviewing for a JUNIOR Data Scientist * 1+ years of experience in statistics, operations research, or advanced mathematics * Experience with R or Python * Experience using ...

Lprs

Senior Data Scientist

Boston, MA · On-site

$130 - $175/hr

Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects. * Monitoring the performance of Junior Data Scientists and providing them with practical guidance ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the ...

Accenture Federal Services

Jr. Data Scientist

Annapolis, MD · On-site

$90K - $120K/yr

AFS is looking for a Jr. Data Scientist to support our nation's most critical missions. If you love turning raw data into clear insights and thrive in a dynamic, collaborative environment, we'd love ...

Accenture LLP

Jr. Data Scientist

Annapolis, MD · On-site

$90K - $120K/yr

AFS is looking for a Jr. Data Scientist to support our nation's most critical missions. If you love turning raw data into clear insights and thrive in a dynamic, collaborative environment, we'd love ...

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All JobsData Scientist Biotech JobsJunior Data Scientist Biotech Jobs

Junior Data Scientist Biotech information

See salary details

$37.5K

$122.7K

$196.5K

How much do junior data scientist biotech jobs pay per year?

As of Aug 17, 2026, the average yearly pay for junior data scientist biotech in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a junior data scientist biotech?

Junior Data Scientists in biotech are entry-level professionals who use data analysis, statistical methods, and machine learning to support research and development in biotechnology. They help collect, process, and interpret large datasets from experiments, clinical trials, or genomics to generate insights that can drive innovation in areas like drug discovery, diagnostics, and personalized medicine. These roles often involve collaborating with biologists, chemists, and other scientists to turn data into actionable information. Junior Data Scientists typically work under the guidance of more experienced data scientists or bioinformaticians as they build their expertise.

What are some typical projects a junior data scientist works on in a biotech company?

As a Junior Data Scientist in biotech, you’ll often contribute to projects involving the analysis of large biological datasets, such as genomics or clinical trial data. Typical responsibilities may include cleaning and preprocessing data, developing predictive models to identify disease markers, or visualizing complex results for research teams. Collaboration with biologists, bioinformaticians, and software engineers is common, as you'll need to translate scientific questions into data-driven solutions. These experiences provide a strong foundation for future advancement into more specialized or senior data science roles within the industry.

What are the key skills and qualifications needed to thrive as a junior data scientist in biotech, and why are they important?

To thrive as a Junior Data Scientist in Biotech, you need a solid background in statistics, programming (Python or R), and a relevant degree in data science, computer science, or a life sciences field. Familiarity with data analysis tools (such as Pandas, NumPy, or SciPy), machine learning libraries, and bioinformatics platforms is typically required. Strong analytical thinking, problem-solving ability, and effective communication skills are essential to interpret complex biological data and collaborate with interdisciplinary teams. These skills and qualities are vital for transforming raw scientific data into actionable insights that drive innovation in biotechnology.

What is the difference between Junior Data Scientist Biotech vs Junior Data Analyst Biotech?

AspectJunior Data Scientist BiotechJunior Data Analyst Biotech
Required CredentialsBachelor's degree in Data Science, Biology, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Biology, Statistics, or related field; often no specialized certifications required
Work EnvironmentResearch labs, biotech companies, or pharmaceutical firms focusing on data modeling and analysisData reporting, data cleaning, and basic analysis in research or clinical settings
Employer & Industry UsageUsed in biotech, pharma, and research organizations for advanced data modelingCommon in biotech and healthcare for routine data reporting and analysis

While both roles involve working with data in biotech, Junior Data Scientist Biotech typically requires more advanced skills in programming and statistical modeling, focusing on complex data analysis. Junior Data Analyst Biotech generally handles data reporting and basic analysis tasks. The roles differ mainly in complexity and technical requirements, but both are essential in biotech data workflows.

Infographic showing various Junior Data Scientist Biotech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 26 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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