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Part Time Biological Data Analyst Jobs (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding. Responsibilities include: * Work as ...

The Pennsylvania State University

The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Futran Tech Solutions Pvt. Ltd.

Sr. Data Analyst

$88K - $111K/yr

We are requesting a part-time (50%) Sr Data Analyst contractor from the US, who can be available as early as 730 PT to work with our offshore IST team and support multiple projects. The location ...

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All JobsPart Time Biological Data Analyst Jobs

Part Time Biological Data Analyst information

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$34K

$82.6K

$136K

How much do part time biological data analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for part time biological data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Part Time Biological Data Analyst do?

A Part Time Biological Data Analyst works with biological data to help researchers or organizations interpret complex biological information. Their duties typically include collecting, cleaning, and analyzing data from experiments or studies, often using statistical software and programming languages like R or Python. They may work on projects related to genomics, ecology, clinical trials, or other biology-related fields, providing insights that support scientific research or decision making. Since the position is part-time, the analyst may work flexible hours or on a project basis.

What are the key skills and qualifications needed to thrive as a Part Time Biological Data Analyst, and why are they important?

To thrive as a Part Time Biological Data Analyst, you need a strong background in biology or bioinformatics, statistical analysis, and data management, typically supported by a related degree. Familiarity with tools such as R, Python, SQL, and bioinformatics databases, as well as experience with data visualization software, is commonly required. Attention to detail, critical thinking, and effective communication are soft skills that help analysts accurately interpret data and collaborate with research teams. These skills and qualifications are essential for drawing meaningful insights from complex biological datasets and supporting sound scientific conclusions.

What is the difference between Part Time Biological Data Analyst vs Part Time Biological Research Assistant?

AspectPart Time Biological Data AnalystPart Time Biological Research Assistant
Required CredentialsBachelor's in Biology, Data Analysis, or related field; proficiency in statistical softwareBachelor's in Biology or related field; laboratory skills often emphasized
Work EnvironmentData analysis in office or remote settingsLaboratory or field research settings
Employer & Industry UsageResearch institutions, biotech companies, environmental agenciesUniversities, research labs, environmental organizations
Common Search & ComparisonYesYes

The main difference is that Part Time Biological Data Analysts focus on analyzing biological data using software tools, while Part Time Biological Research Assistants typically assist with laboratory or field research activities. Both roles require a background in biology, but the Data Analyst emphasizes data skills, whereas the Research Assistant emphasizes hands-on lab work.

What are some common challenges faced by part-time biological data analysts, and how can they manage their workload effectively?

Part-time biological data analysts often face the challenge of managing complex datasets and research timelines within limited working hours. Balancing multiple projects or shifting priorities can make time management especially important. Effective communication with team members and clear documentation of work progress are essential to ensure smooth collaboration and data continuity. Utilizing project management tools and setting realistic goals for each shift can help part-time analysts stay organized and productive.
More about Part Time Biological Data Analyst jobs
What are the most commonly searched types of Biological Data Analyst jobs? The most popular types of Biological Data Analyst jobs are:
What job categories do people searching Part Time Biological Data Analyst jobs look for? The top searched job categories for Part Time Biological Data Analyst jobs are:
Part Time Biological Data Analyst jobs near you
Infographic showing various Part Time Biological Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 75% In-person, 15% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$98K - $124K/yr

Part-time

Posted 15 days ago

Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.

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