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Internship Python Pandas Jobs in Oregon (NOW HIRING)

Data Scientist

$96K - $134K/yr

Solid foundational proficiency in Python (pandas, NumPy, scikit-learn), working knowledge of SQL ... internships, or projects. * Communication & Curiosity: Strong analytical problem-solving skills ...

Internship Python Pandas information

What are the key skills and qualifications needed to thrive as an internship Python Pandas, and why are they important?

To thrive in a Python Pandas internship, you need a solid understanding of Python programming, data manipulation, and familiarity with the Pandas library, often supported by coursework or personal projects in data analysis. Experience with tools such as Jupyter Notebook, NumPy, and version control systems like Git is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly will help you stand out. These skills and qualities are crucial for efficiently handling real-world datasets, contributing to team projects, and delivering actionable insights.

What types of projects and tasks can I expect to work on during a Python Pandas internship?

As a Python Pandas intern, you will typically work on data-driven projects such as data cleaning, transformation, analysis, and visualization. You might assist in preparing datasets for machine learning models, generating reports, or automating data workflows using Pandas and related libraries. Interns often collaborate with data scientists or analysts, gaining hands-on experience with real-world datasets and contributing to team objectives. This role offers a supportive environment to develop technical skills and learn industry best practices while making a meaningful impact.

What is an internship Python Pandas?

Internship Python Pandas positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Python and the Pandas library. These internships typically involve tasks like data cleaning, analysis, and manipulation using Pandas, often within the context of real-world projects. Interns may work on data-driven applications or support teams in preparing datasets for machine learning or business intelligence. These roles help interns build practical skills in data science and software development, and often serve as a stepping stone to more advanced roles in the tech industry.

What is the difference between Internship Python Pandas vs Data Analyst?

AspectInternship Python PandasData Analyst
Required SkillsPython, Pandas, basic data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentInternship, entry-level, training-focusedFull-time, professional setting, project-driven
Industry UsageLearning phase, supporting data tasksInterpreting data, reporting, decision-making

Internship Python Pandas roles focus on learning and supporting data tasks using Python and Pandas, often as entry-level positions. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making data-driven decisions. While both roles require some overlapping skills, Data Analysts typically have more experience and a wider skill set.

What are the most commonly searched types of Python Pandas jobs in Oregon? The most popular types of Python Pandas jobs in Oregon are:
What are popular job titles related to Internship Python Pandas jobs in Oregon? For Internship Python Pandas jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Internship Python Pandas jobs? Cities in Oregon with the most Internship Python Pandas job openings:
Infographic showing various Internship Python Pandas job openings in Oregon as of August 2026, with employment types broken down into 2% Internship, 73% Full Time, 19% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

$96K - $134K/yr

Full-time

Medical, PTO

Re-posted 17 days ago


Ascension Healthcare rating

7.0

Company rating: 7.0 out of 10

Based on 1,038 frontline employees who took The Breakroom Quiz

417th of 887 rated healthcare providers


Job description

Your future role at a glance

Location: Remote

Department: Clinical and Population Health Analytics

Schedule: Full-time | Day shift

Salary: $96,208.99 - $134,109.89 per year

#ADSI #internalops

How you'll make an impact in this role
  • Build & Refine: Assist in building, testing, and refining predictive machine learning models and text-based Generative AI tools (utilizing Vertex AI and modern NLP frameworks) under the guidance of senior team members to address real-world clinical challenges.
  • Process & Analyze: Extract, clean, and preprocess structured healthcare data (EHR, billing, and claims), performing feature engineering to address noise, missingness, and complex clinical data structures.
  • Evaluate & Test: Conduct model evaluation, benchmarking, and error analysis, assessing performance metrics alongside clinical safety, fairness, and potential algorithmic bias.
  • Collaborate & Learn: Work alongside senior data scientists and clinical mentors to translate broad clinical questions into structured analytics problems and actionable technical tasks.
  • Document & Handoff: Write clean, well-documented code and maintain clear project documentation (in GitHub) to support model deployment and integration with MLOps pipelines.
What minimum qualifications you'll need

Education:

  • High School diploma equivalency with 2 years of cumulative experience OR Associate'sdegree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.
What additional requirements you'll need
  • Education: A Bachelor's, Master's, or PhD in Data Science, Computer Science, Health Informatics, Statistics, or a related STEM field. Healthcare Domain Interest: Familiarity with or strong eagerness to learn healthcare data standards and clinical coding structures (e.g., ICD-10, CPT codes).
  • Core Technical Skills: Solid foundational proficiency in Python (pandas, NumPy, scikit-learn), working knowledge of SQL (BigQuery/relational databases), and familiarity with version control tools like Git/GitHub. AI & NLP Exposure: Exposure to Large Language Model (LLM) concepts, prompt engineering, or modern NLP/GenAI frameworks (e.g., Hugging Face, LangChain, or Google Vertex AI) through coursework, research, internships, or projects.
  • Communication & Curiosity: Strong analytical problem-solving skills with the ability to communicate technical findings clearly to both technical peers and clinical stakeholders.
Life at Ascension: Where purpose meets opportunity

Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 97,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you'll find an inclusive and supportive environment where your contributions truly matter.

Equal employment opportunity employer

Equal employment opportunity employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

Fraud prevention notice

Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system.

E-Verify statement

Employer participates in the Electronic Employment Verification Program. Please click here for more information.

Benefits

Paid time off (PTO)Various health insurance options & wellness plansRetirement benefits including employer match plansLong-term & short-term disabilityEmployee assistance programs (EAP)Parental leave & adoption assistanceTuition reimbursementWays to give back to your community

Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.

Employment Type: FULL_TIME

What Ascension Healthcare employees say

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Benefits

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About Ascension

Sourced by ZipRecruiter

Ascension is a leading non-profit, faith-based national health system made up of over 150,000 associates and 2,600 sites of care, including more than 140 hospitals and 40 senior living communities in 19 states.

Industry

Health care and social assistance and outpatient health care

Company size

10,000+ Employees

Headquarters location

St. Louis, MO, US