295 Qualitative Research jobs in the United States

We are seeking a motivated and detail-oriented qualitative researcher to join our fast-paced, collaborative environment. The ideal candidate for our Clinical Research Associate - Qualitative Methods position will conduct both qualitative research and prepare high-quality clinical study documentation, including protocols, method validation reports, and scientific publications. The right candidate will excel in collaboration while working independently as well, has strong communication and organizational skills with the ability to multi-task and prioritize, and is driven to deliver high-quality, evidence-based insights that shape clinical research outcomes. The successful candidate will have the opportunity to deepen their expertise in qualitative methods and medical writing while generating meaningful insights that support innovation in clinical science.

Job Description:

• Develop and implement qualitative research protocols
• Conduct concept elicitation and cognitive debriefing interviews
• Perform coding and thematic analysis of qualitative data
• Carry out literature reviews to inform study design as well as support medical device and tool development
• Prepare, write, and review clinical study documentation, including protocols, method validation reports, and other regulatory or study-related materials, ensuring compliance with applicable standards
• Contribute to the preparation of scientific manuscripts and publications
• Interpret and summarize findings in clear, actionable formats for clinical clients
• Stay current with emerging qualitative research methodologies, tools, and industry trends

Core Requirements:

• Masters degree in health or a social science major, or an equivalent combination of education and experience
• At least 3 years demonstrated experience in qualitative research methods
• 2 years of established proficiency with NVivo software
• Experience conducting systematic literature review(s) and in medical writing such as; protocols, reports, or scientific publications
• Ability to clearly convey complex findings to audiences of varying expertise, detail oriented, and strong critical thinking/problem solving skills
• Proficiency utilizing Microsoft office suite

Desired Requirements:

• Experience in the development of Patient and Clinician reported outcomes
• Familiarity with regulatory processes for drug development or medical devices, including the use of Medical Device Development Tools (MDDT), is advantageous.

Canfield Scientific, Inc. is a core imaging lab providing custom photographic systems, image monitoring, and centralized analysis services for the pharmaceutical, biotechnology and cosmetics industries supporting global clinical trials providing primary endpoint data and supporting documentation. Canfield offers comprehensive benefits to its employees. These include paid days off, medical, dental, and vision insurance, may be eligible for a discretionary bonus, and a 401(k) plan with employer match (currently set at 50%). The anticipated salary range for the position is $60,000.00-$80,000.00 annually. This is dependent upon consideration of multiple factors when determining a base salary such as a candidates experience, education, and current market conditions. If the role is eligible for full benefits, it will be discussed with you during the interview process. Canfields imaging equipment leads the industry providing high-quality, registered, reproducible clinical images. This, together with proactive clinical image monitoring and a world class quality assurance regimen, sets the gold standard in image quality for clinical studies.

Need Banking domain experience. Good data analysis and SQL skills and very good with large data crunching. Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst. Experience leading projects end to end including international stakeholders. Conduct end-to-end evaluations of existing processes to design and implement process enhancements.

Need Banking domain exp is must.

Need good Data analysis and sql skills and very good with large data crunching
• Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst
• Experience leading projects end to end including international stakeholders
• Conduct end-to-end evaluations of existing processes to design and implement process enhancements and role redesigns to streamline operations and improve efficiency
• Financial markets domain - require to have basic knowledge and understanding of Capital Market Products - EQ, Rates - Bonds & IRS, Credit - CDS and Bonds, Commodities etc. along with understanding of basic trade life cycle (from dealer broker perspective)
• Experience working with relational / non-relational databases to turn into insights
• Experience with tools like SQL, Excel & Advanced Excel, Project Management tools like Jira, Confluence, SharePoint
• Hands-on experience in Scripting Languages (Python)
• Experience in troubleshooting code and logs
• Excellent interpersonal and communication skills in English

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers (

Reporting to the Data Operations Lead in the DuPont Water Solutions business, the Data Analysis Intern will be responsible for evaluating data integrity to support the business functions. DWS has multiple sources for its databases and conflicts must be researched and resolved. The intern will work in Microsoft Excel identifying errors or missing data, leverage AI and other sources of information to resolve the errors and propose solutions. The intern will be able to meet with members of our DWS cross functional teams and learn how we use our data in day-to-day and long-term decision making (supply chain, product management, marketing, strategy, finance).

Some possible work assignments might be:

• Using AI and web searches to identify “Customer Groups” within our global customer list (i.e. companies with the same parent corporation)

• Comparing related datasets from different systems to find and fix discrepancies

• Automating data cleaning and data manipulation tasks using Power Query (functionality within Excel)

Role Requirements

• High school senior

• Interest in learning Microsoft Excel and working with AI platforms.

• Interest in data analysis and best practices for data management

• Highly motivated and results-driven student willing to learn

• Strong organizational and time management skills

• Ability to work in the office as needed

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DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information ( .

DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page ( .

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

• Update training and test model databases with new or amended synthetic textual and image data.
• Modify and refine machine learning data creation, annotation, and rating guidelines.

• Initiate model training processes using internal tools and command-line interfaces.
• Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

• Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
• Handle data efficiently, ensuring its integrity throughout the workflow.
• Engage in data relevance tasks, ensuring data sets are aligned with project goals.
• Annotate data accurately, ensuring it adheres to set guidelines.

• Conduct manual quality analysis of model results.
• Recognize error patterns and report anomalies for further investigation.
• Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
• Implement basic quality control measures and ensure the reliability of processed data.
• Utilize intermediate data analysis techniques to extract insights and inform decision-making.
• Arbitrate discrepancies effectively, ensuring consistent data quality.

• Apply basic knowledge of natural language processing and linguistics to data processing tasks.
• Ensure linguistic accuracy in all processed and annotated data.

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills

• Familiarity with command-line tools and interfaces.
• Strong analytical skills with the ability to identify patterns and anomalies.