1

Summer Data Scientist Graduate Jobs (NOW HIRING)

Graduate-level education (Master's or PhD) in a quantitative field such as natural sciences ... Exposure to big data environment including tools for large-scale data storage and sensor-based data ...

Graduate-level education (Master'sor PhD) in a quantitative field such as natural sciences ... Exposure to big data environment including tools for large-scale data storage and sensor-based data ...

$49.96K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

$49.96K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

$49.96K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

Data Scientist

Rochester, NY · On-site

$86.60K - $132.70K/yr

The Data Scientist is responsible for analyzing complex datasets to identify insights, develop ... Summer hours where we have half days on Fridays * Tuition Reimbursement up to $10,000/year so you ...

DATA SCIENTIST

Edwards, CA · On-site

$49.96K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

$49.96K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

$49.96K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

next page

Showing results 1-20

Summer Data Scientist Graduate information

See salary details

$37.5K

$122.7K

$196.5K

How much do summer data scientist graduate jobs pay per year?

As of May 28, 2026, the average yearly pay for summer data scientist graduate in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Summer Data Scientist Graduate, and why are they important?

To thrive as a Summer Data Scientist Graduate, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with data manipulation tools (such as Pandas, SQL), machine learning libraries (like scikit-learn or TensorFlow), and data visualization platforms is often required. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help set candidates apart. These skills and qualities are essential for effectively analyzing data, deriving meaningful insights, and contributing to data-driven decision-making within a short internship timeframe.

What kinds of projects and responsibilities can a Summer Data Scientist Graduate expect during their internship?

As a Summer Data Scientist Graduate, you can expect to work on real-world data problems such as building predictive models, cleaning and analyzing datasets, and presenting actionable insights to stakeholders. You'll likely collaborate closely with experienced data scientists, software engineers, and business analysts in a team environment. Common challenges include learning to navigate complex datasets, mastering new analytical tools quickly, and effectively communicating technical findings to non-technical audiences. This role offers an excellent opportunity to gain hands-on experience, receive mentorship, and potentially secure a full-time position post-graduation.

What is a Summer Data Scientist Graduate?

A Summer Data Scientist Graduate is typically a recent or soon-to-be graduate in a quantitative field who is participating in a temporary internship or work placement during the summer months. Their main responsibilities often include analyzing large datasets, building predictive models, and supporting ongoing data-driven projects. These positions provide hands-on experience with real-world data science tools and methodologies, helping graduates transition from academic studies to professional roles. Summer Data Scientist Graduate roles are a great way to develop technical skills, gain industry exposure, and network with professionals in the field.

What is the difference between Summer Data Scientist Graduate vs Summer Data Analyst Intern?

AspectSummer Data Scientist GraduateSummer Data Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Statistics, or related fieldOften pursuing or holding a degree in Business, Economics, or related field
Work EnvironmentResearch-focused, developing models, advanced analyticsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, consulting firms

The Summer Data Scientist Graduate role generally involves advanced analytics, machine learning, and model development, requiring specialized skills. In contrast, the Summer Data Analyst Intern focuses on data cleaning, reporting, and basic analysis. Both roles are valuable entry points but differ in complexity and focus areas.

What cities are hiring for Summer Data Scientist Graduate jobs? Cities with the most Summer Data Scientist Graduate job openings:
What are the most commonly searched types of Data Scientist Graduate jobs? The most popular types of Data Scientist Graduate jobs are:
What states have the most Summer Data Scientist Graduate jobs? States with the most job openings for Summer Data Scientist Graduate jobs include:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 hours 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 II 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. 
  • 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. 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