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Data Research Intern Jobs in Seattle, WA (NOW HIRING)

Centific

Research Intern

Redmond, WA · On-site

Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI ... About Job Research Intern - Healthcare AI Location: United States (Redmond, WA, or Palo Alto, CA ...

Posted today

Trunk Tools

Research Intern

Redmond, WA · On-site +1

Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI ... About Job Research Intern - Healthcare AI Location: United States (Redmond, WA, or Palo Alto, CA ...

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Point72

Quantitative Research Intern

Seattle, WA · On-site

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading. JOB ...

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All JobsData Research Intern JobsData Research Intern Jobs in Seattle, WA

Data Research Intern information

See Seattle, WA salary details

$13

$25

$47

How much do data research intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data research intern in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What does a data research intern do?

A Data Research Intern assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. Their responsibilities often include cleaning data sets, conducting literature reviews, supporting research projects, and preparing reports or presentations based on their findings. Interns may also use tools like Excel, Python, or R to process data and gain insights. This role provides hands-on experience in both quantitative and qualitative research methods and often serves as a foundation for a career in data analysis or research.

What types of projects and tasks can a data research intern expect to work on during their internship?

As a Data Research Intern, you can expect to be involved in a variety of projects, such as gathering and cleaning large datasets, conducting exploratory data analysis, and supporting senior analysts with research tasks. You may help design surveys, scrape data from public sources, or assist in building dashboards and reports. Collaboration is common, as you'll often work closely with data scientists, business analysts, and other interns to solve real-world business problems. This hands-on experience provides valuable exposure to industry-standard tools and workflows, helping you build practical skills for a future career in data.

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

To thrive as a Data Research Intern, you need strong analytical skills, attention to detail, and a foundational understanding of statistics and research methodologies, typically gained through coursework in data science, mathematics, or a related field. Familiarity with data analysis tools such as Excel, Python, R, and experience with databases or visualization platforms like Tableau is highly valuable. Curiosity, effective communication, and problem-solving abilities help interns stand out when interpreting data and presenting findings. These skills are crucial for accurately collecting, analyzing, and conveying insights that support organizational decision-making.

What is the difference between Data Research Intern vs Data Analyst?

AspectData Research InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship setting, often in research or academic projectsFull-time or part-time in corporate, tech, or consulting firms
Employer & Industry UsageResearch institutions, universities, tech startupsBusinesses across industries, including finance, marketing, tech
Search & Comparison IntentUnderstanding entry-level research roles, internshipsAnalyzing data roles, career progression

While both roles involve working with data, a Data Research Intern typically focuses on assisting with research projects and gaining experience, often as a student or recent graduate. A Data Analyst usually handles data analysis tasks in a professional setting, making data-driven decisions for organizations. The roles differ mainly in experience level, scope, and employment setting.

What are the most commonly searched types of Data Research jobs in Seattle, WA?

The most popular types of Data Research jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Research Intern jobs?

Cities near Seattle, WA with the most Data Research Intern job openings:

Data Research Intern jobs near you

Research Intern

Centific

Redmond, WA • On-site

Other

Posted 16 hours ago

Posted today

Job description

About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Research Intern - Healthcare AI
Location: United States (Redmond, WA, or Palo Alto, CA, or Remote)
About Centific
Centific is a recognized global leader in Data-as-a-Service and AI-enabled solutions, trusted by Fortune 100 companies and the world's largest brands for compliant, high-impact data orchestration across industries. Our mission is to transform enterprises-healthcare, retail, mobility, and technology-with intelligent, secure, and scalable data solutions, powered by top-tier applied AI and annotation expertise.
Role Overview
We are seeking an innovative and self-driven Research Intern to join our team at the intersection of cutting-edge Artificial Intelligence and clinical impact. In this role, you will bridge the gap between theoretical research and applied healthcare solutions. You will lead independent research initiatives focusing on Traditional/Generative AI, Agentic workflows, and multimodal foundation models to solve complex challenges in medical diagnostics, reasoning, and patient care.
Key Responsibilities
  • AI solutions: Develop solutions by selecting and orchestrating a diverse range of state-of-the-art models (Traditional AI and GenAI). Deep theoretical understanding of how models work to optimize performance and reliability.
  • Agentic AI Research: Architect and implement autonomous agentic systems capable of multi-step medical reasoning, planning, and tool use to assist in clinical decision-making workflows.
  • Medical Data Strategy: Lead the strategy for processing high-dimensional, HIPAA-compliant healthcare data. This includes handling prescriptions, electronic health records (EHR), and medical imaging to create robust datasets for pre-training and fine-tuning.
  • End-to-End Problem Solving: Take ownership of "big picture" research problems, from defining the hypothesis to designing the architecture and executing the code, operating with a high degree of independence.
  • Scientific Contribution: Conduct rigorous experiments and compile findings for publication in top-tier machine learning or healthcare conferences (e.g., NeurIPS, ICML, AMIA, ICHI, etc).
  • Clinical Foundation Models: Contribute to the development of specialized foundation models optimized for medical reasoning and diagnostics, ensuring they meet the safety and accuracy standards required for clinical deployment.
Minimum Qualifications
  • Education: Currently pursuing a PhD in Computer Science, Artificial Intelligence, Computational Biology, Biomedical Informatics, or a related field.
  • Technical Proficiency: Expert-level proficiency in Python and deep learning development using PyTorch (or related technologies).
  • Healthcare Domain Expertise:
  • Demonstrated experience handling sensitive HIPAA-compliant data.
  • Familiarity with medical data standards and workflows (prescriptions, diagnostics).
  • Experience curating datasets specifically for medical reasoning.
  • Research Track Record: A portfolio of course projects or publications demonstrating an ability to apply AI techniques to real-world data problems.
  • Excellent Communication Skills: Ability to communicate to various stakeholders: medical professionals, academic professionals, industry executives.
Preferred Qualifications (Bonus)
  • Medical LLM Familiarity: Experience working with or fine-tuning domain-specific Medical Large Language Models (e.g., Med-PaLM, BioGPT, ClinicalBERT, or open-source equivalents like BioMistral).
  • Reinforcement Learning (RL): Specialization or research experience in RL, specifically RLHF (Reinforcement Learning from Human Feedback) or Multi-Agent Reinforcement Learning (MARL) applied to optimization problems.
  • Multimodal Experience: Proven ability to work with unstructured data modalities beyond text, including Clinical Speech/Audio (ASR for doctor-patient conversations) and Medical Imaging (Radiology, Pathology).
  • Applied Healthcare Tooling: Experience building or researching tools for clinical conversation analysis, radiology automation, or signal processing from medical devices/wearables.
  • Publication History: First-author publications in high-impact venues.
What You'll Gain
  • Mentorship from globally recognized data/AI leaders and branding experts.
  • Cross-functional experience with engineering, research, and marketing teams on global initiatives.
  • Direct impact on Centific's narrative and market positioning, with high-visibility deliverables.
  • Competitive stipend, extensive networking, and the possibility of full-time conversion for top performers.
Compensation
  • $40 / hours, up to 40 hours/ week.

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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