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Internship Data Science R Jobs in Seattle, WA (NOW HIRING)

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Principal Data Scientist - CoreAI

Redmond, WA ยท On-site

$188K - $304K/yr

... data science and analytics projects that delivered measurable product and growth wins. * 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R. * 5+ ...

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Working closely with the Translational Data Science Staff Scientist, this position contributes to ... Proficiency in R or Python. * Knowledge of statistical analysis, machine learning and predictive ...

Data Scientist

Bellevue, WA ยท On-site +1

$147K/yr

You will have the opportunity to work on a wide range of data science projects, such as developing ... D.) managing and analyzing large-scale data using Python, R, or similar languages * 6+ years of ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Director, Marketing Data Science Responsibilities: * Lead Measurement & Analytics: Oversee the ... R) * Experience leading the building of statistical/computational tools in support of marketing ...

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Internship Data Science R information

See Seattle, WA salary details

$13

$25

$47

How much do internship data science r jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for internship data science r 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 types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What are the most commonly searched types of Data Science R jobs in Seattle, WA? The most popular types of Data Science R jobs in Seattle, WA are:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The Data Scientist IIย will support clinical and translational data science at the Fred Hutch. The data scientist will use multimodal, real-world healthcare data (electronic health records, registry data, etc.) as well as multimodal data sets generated in clinical and translational labs such as genomics and imaging, to advance our understanding of clinical care and patient outcomes. The data scientist will work on collaborative projects utilizing our OMOP common data model for observational oncology data in combination with diverse multimodal datasets. Projects may include developing predictive clinical models, LLM/AI integrated analyses, statistical modeling to understand patient populations and cancer outcomes, and cohort identification. The data scientist will develop templates and workflows for the data science community at Fred Hutch and play a key role in building ethical data stewardship and management skills across Fred Hutch.

At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.

Responsibilities
  • Participates in collaborative data science projects with academic researchers, oncologists, statisticians, and other partners.
  • Develops reproducible statistical analyses and machine learning models for topics such as: cohort identification, clinical characterization, and patient-level prediction.
  • Thinks critically and communicates clearly throughout the data science lifecycle (problem formulation, data cleaning, EDA, analysis, evaluation, and communication of results).
  • Creates data visualizations, reports, queries, and summaries to communicate findings to collaborators.ย 
  • Supports development and growth of our common data model (OMOP) for real-world, observational health research through investigating data quality, conducting exploratory analysis on new data sources, and making recommendations for data transformation requirements.
  • Identifies, understands and creates multimodal data packages integrating clinical and research laboratory data to create comprehensive descriptions of patient journeys.
  • Collaborates with the translational data science team to develop templates, packages, and documentation for the data science community at Fred Hutch and self-serve analytics users.
  • Ensures analyses meet a high standard for methodological rigor and stays current in methodology for real-world evidence studies.
  • Complies with data governance and data privacy policies.
Qualifications

MINIMUM QUALIFICATIONS:

  • B.A., B.S. in computational biology, biostatistics, computer science, data science, biophysics, bioinformatics, or a related field.
  • Minimum 5 years of experience in data science, bioinformatics, or related disciplines.
    • Graduate degrees can apply towards this minimum (M.A./M.S. = 2 years, PhD = 4+ years)

PREFERRED QUALIFICATIONS:

  • Graduate degree in epidemiology, biostatistics, statistics/mathematics, public health, computational biology, bioinformatics, biology, or a related field.
  • Proficiency in R and/or Python programming.
  • Strong SQL and experience working in cloud-based data ecosystems.
  • Experience working with the OMOP common data model and OHDSI tools.
  • Demonstrated knowledge of machine learning and deep learning.
  • Demonstrated rigor and reproducibility through well organized and well documented code and/or committed to a public code repository.
  • Experience using Git in a collaborative setting.
  • Experience working with standardized medical vocabulary and ontologies (ICD-10, SNOMED, RxNorm, etc.)
  • Experience with data governance processes for working with regulated data (HIPAA, GDPR, etc.).
  • Strong oral and written communication skills, and the ability to prioritize written documentation.
  • Excellent interpersonal and communication skills with audiences with a wide range of data expertise.
  • A functional understanding of medical oncology, cancer epidemiology, or immunotherapy.
  • Proficiency in natural language processing tasks and tools, especially with clinical text.

The annual base salary range for this position is from $104,458 to $165,090, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.ย Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

Additional InformationWe are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Employment Type: FULL_TIME