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Qualitative Research Phd Intern Jobs in Bothell, WA

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Trunk Tools

Research Intern

Redmond, WA · On-site +1

About Job Research Intern - Healthcare AI Location: United States (Redmond, WA, or Palo Alto, CA ... Currently pursuing a PhD in Computer Science, Artificial Intelligence, Computational Biology ...

New

Centific

Research Intern

Redmond, WA · On-site

About Job Research Intern - Healthcare AI Location: United States (Redmond, WA, or Palo Alto, CA ... Currently pursuing a PhD in Computer Science, Artificial Intelligence, Computational Biology ...

New

Akidev Corporation

UX Researcher III

Redmond, WA · On-site

... qualitative research methods (e.g., interviews, usability studies) • 1+ years of working in cross-functional teams PREFERRED QUALIFICATIONS : • PhD in Human Factors, Cognitive Psychology ...

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Qualitative Research Phd Intern information

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$5.9K

$8.6K

How much do qualitative research phd intern jobs pay per month?

As of Aug 20, 2026, the average monthly pay for qualitative research phd intern in Bothell, WA is $5,913.83, according to ZipRecruiter salary data. Most workers in this role earn between $3,350.00 and $8,383.33 per month, depending on experience, location, and employer.

What does a qualitative research PhD intern do?

A Qualitative Research PhD Intern assists with designing, conducting, and analyzing qualitative research studies, such as interviews, focus groups, and ethnographic observations. They often work under the supervision of experienced researchers, contributing to literature reviews, data collection, transcription, coding, and thematic analysis. Their work helps uncover insights about human behaviors, attitudes, and experiences, which can inform academic publications, policy recommendations, or business strategies. This role provides valuable hands-on experience with research methods and prepares interns for advanced careers in academia, industry, or government.

What types of projects does a qualitative research PhD intern typically work on, and how do they collaborate with other team members?

Qualitative Research PhD Interns often engage in projects that involve designing and conducting interviews, focus groups, or ethnographic studies to gather in-depth insights on user experiences or behaviors. They work closely with senior researchers, data analysts, designers, and product managers to ensure their findings inform product development or strategic decisions. Collaboration is key, as interns frequently participate in team meetings, present their research, and integrate feedback to improve study designs. This role offers the opportunity to develop practical research skills while contributing directly to impactful projects.

What are the key skills and qualifications needed to thrive as a qualitative research PhD intern, and why are they important?

To thrive as a Qualitative Research PhD Intern, you need a solid background in social science research methods, data analysis, and a track record of academic study at the doctoral level. Familiarity with qualitative data analysis software such as NVivo, ATLAS.ti, or Dedoose, as well as experience conducting interviews, focus groups, or ethnographic research, is typically required. Strong analytical thinking, attention to detail, and effective written and verbal communication skills set outstanding candidates apart. These competencies are crucial for producing rigorous, insightful research that informs academic or organizational understanding and decision-making.

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Qualitative Research Phd Intern jobs near you

ML PhD Intern - LLMs & Generative AI

Truveta

Seattle, WA • On-site

Internship

Re-posted 2 days ago

Job description

ML PhD Intern - LLMs & Generative AI
Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the internship program requires that you are physically present in the United States for the duration of the internship. #LI-remote
Who We Need
We are seeking a highly motivated and talented Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
Internship Details
Our Research PhD Internship is designed for candidates who have finished their classes and are working only on research work to complete their PhD. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our internships are designed to be a minimum of 10 weeks with the opportunity to extend beyond the initially agreed term based on the company's needs and the candidate's desires.
This Opportunity
We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.
In this role, you will:
  • Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
  • Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
  • Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
  • Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
  • Deliver the next generation of innovation in trustworthy healthcare.

Key Qualifications
  • Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
  • Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
  • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
  • Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
  • Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
  • Strong communication skills and the ability to work effectively in a collaborative research environment

Preferred Qualifications
  • Experience with distributed parallel training, large-scale multi-modal foundation and generative models
  • Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
  • Familiarity with training multi-modal foundation models
  • Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
  • A track record of publications and contributions to the machine learning and natural language processing communities

This internship opportunity offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We offer:
  • Competitive compensation
  • Company-issued laptop and equipment
  • Opportunities for future full-time positions
  • The hourly pay for this position is $45

Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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