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Remote Data Scientist Intern Jobs in Oregon (NOW HIRING)

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

Deep expertise in applying analytics and data science techniques to drive impacts in growth and ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... science, engineering program or related field * Aviation Background * Ground Survey Background

Data Engineer

OR · Remote

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to ... Remote

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics ... data engineering intern, analytics engineer) How We Work Together * Location : Remote within the ...

Senior Product Manager, Shopping Experience

OR · Remote

$126K - $166K/yr

You'll partner closely with design, research, engineering, data science, and go-to-market teams to ... We're a remote-friendly, fast-moving team that values clear communication, ownership, and ...

Senior Data Engineer

$105K - $150K/yr

Work closely with data scientists, business analysts, and stakeholders to understand business ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

San Carlos, CA or Remote, USA (West Coast or Mountain time zones preferred) PRIMARY ... Lead medical and clinical data review to ensure data quality and integrity * Analyze complex ...

Showing results 41-60

Remote Data Scientist Intern information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do remote data scientist intern jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote data scientist intern in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What is a remote data scientist intern?

A Remote Data Scientist Intern is a temporary, entry-level role where you assist in data analysis, machine learning, and statistical modeling while working remotely. You’ll clean and process data, build predictive models, and generate insights to support business decisions. Interns typically use programming languages like Python or R, along with tools like SQL and cloud platforms. This role provides hands-on experience in data science while offering flexibility to work from anywhere.

What types of projects or tasks can I expect as a remote data scientist intern?

As a Remote Data Scientist Intern, you can typically expect to work on real-world data analysis projects, such as cleaning and organizing datasets, building predictive models, and creating visualizations to support business decisions. You may also assist with research, exploratory data analysis, and automating routine data processing tasks using programming tools. Collaboration is usually done through virtual meetings, code repositories, and project management platforms, where you'll interact with data scientists, engineers, and business stakeholders. This hands-on experience helps build both your technical and communication skills within a remote, team-oriented environment.

What are the key skills and qualifications needed to thrive as a remote data scientist intern?

To thrive as a Remote Data Scientist Intern, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often gained through coursework or relevant projects. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), version control systems like Git, and data visualization tools such as Tableau or matplotlib is highly valued. Strong communication, self-motivation, and time management are essential soft skills, especially when working remotely. These skills help interns efficiently analyze data, contribute to team projects, and adapt to the collaborative, fast-paced nature of remote data science work.

What are the most commonly searched types of Remote Data Scientist jobs in Oregon? The most popular types of Remote Data Scientist jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Scientist Intern jobs? Cities in Oregon with the most Remote Data Scientist Intern job openings:
Infographic showing various Remote Data Scientist Intern job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Gresham, OR • Remote

$90 - $120/hr

Part-time

Posted 14 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.