Government agencies handle vast amounts of scientific data, from environmental research to healthcare analytics. A Scientific Data Analyst plays a critical role in collecting, analyzing, and interpreting complex datasets to support government programs, policy decisions, and research initiatives.

What does a Scientific Data Analyst do on Government Contracts?

A Scientific Data Analyst is responsible for processing and analyzing large datasets to extract meaningful insights that aid in government research and decision-making. Their key responsibilities include:

Data Collection & Processing: Gathering and cleaning large datasets from various scientific sources, including satellite imagery, climate data, healthcare records, and laboratory results.
Statistical Analysis & Modeling: Applying statistical techniques and machine learning algorithms to interpret trends and patterns in scientific data.
Data Visualization & Reporting: Creating charts, graphs, and reports to communicate findings to policymakers, researchers, and government stakeholders.
Regulatory Compliance: Ensuring data integrity and compliance with government regulations such as HIPAA, FDA, EPA, and NIST standards.
Collaboration with Researchers & Agencies: Working closely with federal scientists, engineers, and analysts to support ongoing research projects and data-driven initiatives.

Scientific Data Analyst Job Description

A Scientific Data Analyst on a government contract is responsible for managing, analyzing, and interpreting scientific datasets to support federal research programs. The analyst must apply statistical and computational techniques to extract valuable insights, ensure data accuracy, and provide actionable recommendations to government agencies.

Job Requirements for a Scientific Data Analyst

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:

Proficiency in data analysis tools such as Python, R, MATLAB, or SAS.
Strong understanding of statistical modeling, machine learning, and data mining techniques.
Experience with big data technologies such as Hadoop, Spark, or SQL databases.
Knowledge of government data compliance regulations (e.g., HIPAA for healthcare data, EPA standards for environmental data).
Ability to create data visualizations using tools like Tableau, Power BI, or matplotlib.

EDUCATIONAL BACKGROUND AND EXPERIENCE:

Bachelor’s or Master’s degree in Data Science, Statistics, Bioinformatics, Environmental Science, or a related field.
3-5 years of experience in data analysis, scientific research, or computational modeling.
Experience working with government agencies such as NASA, NOAA, NIH, or the EPA is a plus.

WORKSPACE/PHYSICAL REQUIREMENTS:

Office-based role with extensive use of computer-based data analysis tools.
May require occasional travel for field research or collaboration with scientific teams.

What does a typical job posting look like for a Scientific Data Analyst?

Job Title: Scientific Data Analyst (Government Contracts)
“We are seeking a Scientific Data Analyst to support federal research initiatives by analyzing complex datasets and providing data-driven insights. The ideal candidate will have experience in statistical modeling, data visualization, and compliance with government data regulations.”

ESSENTIAL JOB FUNCTIONS:

Analyze and interpret large datasets to support scientific research and policy decisions.
Develop and apply statistical models and machine learning algorithms.
Ensure data accuracy and compliance with federal research standards.
Work with government scientists and researchers to refine data analysis methodologies.
Present findings through reports, dashboards, and scientific publications.

Salary Range

The salary for a Scientific Data Analyst on government contracts typically ranges from $85,000 to $125,000 per year, depending on experience, specialization, and agency requirements.