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Part Time Biological Data Analyst Jobs (NOW HIRING)

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

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 ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Booz Allen Hamilton, Inc.

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

Share Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Brown University

Lead Data Analyst

Hall, NY · Hybrid

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

Brown University

Lead Data Analyst

Providence, RI · On-site

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

One Call

Data Analyst II

$55K - $83K/yr

... Part-time Full Time Salary Range Min - Max (USD) $55700 - $83500 Country United States Date 30-Jun ... Analyze data and design/generate reports that evaluate program performance for both internal and ...

One Call

Data Analyst II

$55K - $83K/yr

... Part-time Full Time Salary Range Min - Max (USD) $55700 - $83500 Country United States Date 30-Jun ... Analyze data and design/generate reports that evaluate program performance for both internal and ...

Stantec

Biologist

Chico, CA · On-site

$62K - $90K/yr

Should be familiar with review and analysis of scientific data, maps, and drawings. * Provide ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Biologist

Eureka, CA · On-site

$62K - $90K/yr

Should be familiar with review and analysis of scientific data, maps, and drawings. * Provide ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

On-Call Biologist

Redding, CA · On-site

$56K - $82K/yr

This position may include writing reports, collecting and reviewing biological data, field surveys ... Familiar with review and analysis of scientific data, maps, and drawings. * Provide support in ...

Stantec

Biologist

Redding, CA · On-site

$62K - $90K/yr

Should be familiar with review and analysis of scientific data, maps, and drawings. * Provide ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

On-Call Biologist

Eureka, CA · On-site

$62K - $90K/yr

This position may include writing reports, collecting and reviewing biological data, field surveys ... Familiar with review and analysis of scientific data, maps, and drawings. * Provide support in ...

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All JobsBiological Data Analyst JobsPart Time Biological Data Analyst Jobs

Part Time Biological Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jul 15, 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
Senior Data Analyst (part-time)

Senior Data Analyst (part-time)

LinTech Global

Arlington, VA • On-site

$98K - $124K/yr

Part-time

Medical, Life, Retirement, PTO

Posted 2 days ago

Job description

Dexian Government Solutions is recruiting for a Sr. Business Analyst to support our contract at the USPSOIG in Arlington, Virginia.
Position Description
  • 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.
  • 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.

Position Requirements
  • 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. • 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. • Ensure that quality/security guidelines are followed.
  • Experience applying analytic techniques to detect fraud in Postal Service operations. • Strong relational database and querying languages experience. • Strong verbal and written communication skills. • Must be able to work effectively in a team environment. • 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. • 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.

Experience:
  • Advanced degrees in Statistics, Mathematics, 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.

Desired Requirements:
  • Knowledge and experience in the law enforcement and/or audit industry
  • Knowledge and experience using cloud computing platforms such as Azure
  • Knowledge and experience with relational databases and structured query language (SQL)
  • Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).

Company Description
Dexian Government Solutions is an award-winning, ISO 9001:2015 certified, business and GSA contract holder providing diversified Information Technology services to both Civilian and Defense agencies. Services include Software Development, Systems Integration, Data Management, Project Management, Operations & Maintenance, Cybersecurity, and Training and Audio/Visual (AV) Solutions. Dexian Government Solutions has received several recognitions, including rankings on "Top 50 Companies to Watch", Washington Technology's Annual "FAST 50", and Inc. 500's List of "Fastest Growing Private Companies". The Dexian Government Solutions team is comprised of individuals who are dedicated to the success and sustainability of our customers and their missions. Our combination of technical expertise, big business experience, and small business agility allows us to promptly provide our customers with exceptional IT and engineering solutions.
Benefits
Our robust benefits package includes Open Paid Time Off, 11 Federal Paid Holidays & 5 Paid Sick Days, Company-paid Life/AD&D, Company-paid Short Term and Long-Term Disability, Health Insurance with Company Contribution, 401k Plan with Company Match, Employee Recognition Program, opportunity for Employee Referral Bonus, opportunity for annual Performance Bonus and much more!
EEO Statement
Dexian Government Solutions is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided based on qualifications, merit, and business need.
All applicants will be considered for employment without attention to race, religion, color, national origin, ancestry, physical or mental disability, medical condition, pregnancy (including childbirth, lactation and related medical conditions), marital status, genetic information (including characteristics and testing), gender, sexual orientation, gender identity or expression, military and veteran status, or any other status protected under federal, state, or local law in the locations where we operate.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Human Resources. The Company invites any applicant and/or employee to review the Company's written Affirmative Action Plan. This plan is available for inspection upon request.
#DICE
#LI-LM1
This role requires customer approval, suitability to hold a public trust and successful completion of a preemployment background screening.

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