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Qualitative Project Jobs (NOW HIRING)

LSU AgCenter

Postdoctoral Researcher

East Lansing, MI · On-site

Other Academic The Weatherton Research Lab at Louisiana State University seeks a Postdoctoral Researcher to lead a large-scale longitudinal qualitative project exploring undergraduate resource use in ...

The Sound

Qualitative Contract Specialists

Chicago, IL · On-site

Capable of steering a project and team through analyzing a diverse array of inputs and crafting a ... At least five years of experience in brand strategy, product innovation or qualitative consumer ...

Hach

UX Qualitative Researcher

Loveland, CO · On-site

Growing your expertise and expanding your skillset with every project. * Owning your ambition and ... Conduct qualitative research activities, including customer interviews, field research, on-site ...

Hach

UX Qualitative Researcher

Loveland, CO · Hybrid

Growing yourexpertiseand expanding your skillset with every project. * Owning your ambitionand ... Conduct qualitative research activities, including customer interviews, field research, onsite ...

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Qualitative Project information

What are Qualitative Projects?

Qualitative projects are research initiatives that focus on gathering non-numerical data to understand concepts, opinions, or experiences. They typically involve methods such as interviews, focus groups, and observations to collect in-depth insights. The goal is to explore the meaning behind behaviors and attitudes, rather than measuring them quantitatively. Qualitative projects are commonly used in fields like social sciences, market research, and education to gain a deeper understanding of complex issues.

What are the key skills and qualifications needed to thrive as a Qualitative Project Manager, and why are they important?

To thrive as a Qualitative Project Manager, you need expertise in qualitative research methods, project management, and data analysis, typically supported by a relevant degree such as social sciences or market research. Familiarity with qualitative data analysis software (e.g., NVivo, Atlas.ti), survey platforms, and project management tools is essential. Strong communication, organizational, and problem-solving skills help manage stakeholders and ensure timely project delivery. These competencies ensure that projects yield meaningful insights, meet client objectives, and are executed efficiently.

What are some common challenges faced when managing a Qualitative Project, and how can they be addressed?

Managing a Qualitative Project often involves challenges such as recruiting appropriate participants, ensuring data quality, and maintaining project timelines. Recruitment can be time-consuming, so building strong relationships with community organizations or using specialized recruitment firms is helpful. To ensure data quality, it's important to train interviewers thoroughly and establish clear protocols for data collection and analysis. Effective communication and regular check-ins with team members help keep the project on schedule and foster collaboration across roles.
What job categories do people searching Qualitative Project jobs look for? The top searched job categories for Qualitative Project jobs are:
Infographic showing various Qualitative Project job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Qualitative Researcher - Data Analysis

Redwood Resources

Los Angeles, CA • On-site

$65 - $85/hr

Part-time

Posted 3 days ago

Job description

Description
Project-Based Part-Time Contract (Potential for Ongoing Engagement)
We are seeking an experienced Data Scientist or Qualitative Research Analyst to support a specific project analyzing interview data. The selected consultant will develop a defensible qualitative research methodology, establish coding frameworks and coding guidelines, analyze interview findings, and identify key themes, insights, trends, and recommendations.
This engagement may expand into additional projects involving survey research, stakeholder engagement, workforce development, public sector initiatives, transportation, community engagement, and organizational assessments.
Evaluation Criteria
  • Relevant qualitative research experience.
  • Methodological rigor.
  • Ability to develop defensible coding frameworks.
  • Quality of reporting and communication.
  • Experience with AI-assisted analysis.
  • Cost competitiveness.
  • Availability and responsiveness.

Note: Any use of artificial intelligence tools must be disclosed in advance. The selected consultant will be required to submit a written description of proposed AI tools, methodology, validation processes, and quality control measures for review and approval prior to implementation.
Responsibilities
Phase 1: Methodology Development
• Review project objectives, interview guides, and research goals.
• Develop a qualitative analysis methodology.
• Create coding protocols and thematic analysis procedures.
• Design a codebook and coding hierarchy.
• Establish quality assurance procedures for coding consistency.
• Document methodology suitable for client review and reporting.
Phase 2: AI-Assisted Analysis Framework
• Recommend AI tools and analytical approaches to support qualitative analysis.
• Provide written documentation describing:
• Proposed AI platforms and tools
• Intended use cases
• Validation procedures
• Human review processes
• Data privacy and confidentiality considerations
• Obtain written approval before implementing any AI-assisted analysis workflow.
Phase 3: Data Coding & Analysis
• Code interview transcripts and qualitative responses.
• Identify recurring themes, patterns, sentiments, and emerging issues.
• Perform cross-interview comparisons.
• Analyze findings by stakeholder group, topic area, demographic segment, or other relevant variables.
• Validate coding consistency and thematic reliability.
Phase 4: Reporting
• Develop summary findings and executive-level insights.
• Prepare visualizations, matrices, and thematic summaries.
• Produce written reports suitable for client presentation.
• Present findings and recommendations to project leadership as requested.
Qualifications
Required Qualifications
• Bachelor's degree in Data Science, Statistics, Sociology, Anthropology, Psychology, Public Policy, Research Methods, or related field.
• Minimum 5 years of experience conducting qualitative research and thematic analysis.
• Demonstrated experience developing coding frameworks and codebooks.
• Experience analyzing interview, focus group, and stakeholder engagement data.
• Proficiency with qualitative analysis software such as NVivo, MAXQDA, Atlas.ti, Dedoose, Similar platforms
• Experience utilizing AI-assisted research tools while maintaining methodological rigor.
• Strong technical writing and reporting skills.
Preferred Qualifications
• Advanced degree (Master's or PhD).
• Experience supporting public agencies, transportation organizations, workforce programs, higher education, or community engagement initiatives.
• Experience integrating qualitative and quantitative data sources.
• Familiarity with survey research and mixed-methods studies.
Deliverables
• Qualitative analysis methodology document.
• Coding framework and codebook.
• AI utilization plan and written approval package.
• Coded interview dataset.
• Thematic analysis summary.
• Executive findings report.
• Presentation-ready summary materials.
Engagement Structure
• Mainly remote. Work is based in Los Angeles.
• Project-based with potential for additional assignments.
• Estimated workload to be determined based on interview volume and timeline.
To Apply Requirements
Interested candidates should provide:
• Resume or CV.
• Relevant project examples.
• Description of qualitative research experience.
• Sample methodology or codebook (if available).
• Description of AI tools previously utilized for qualitative analysis.

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