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Afternoon Data Analyst R Programming Jobs in Portland, OR

Familiarity with AI technologies, prompt engineering, and data analysis tools * Ability to ... Python or R * Tableau, Power BI, etc. * Data management systems Pay Range: Intern - $30 DKS is ...

Experience with data analysis using Python, R, SQL, or MATLAB. * Experience with transportation ... S.) in Civil Engineering, Transportation Engineering, Transportation Planning, City and Regional ...

This role oversees data professionals (data engineers, data analysts), establishes data governance frameworks, and partners with construction operations and shared services leadership to maximize the ...

Experience with data analysis using Python, R, SQL, or MATLAB. * Experience with transportation ... S.) in Civil Engineering, Transportation Engineering, Transportation Planning, City and Regional ...

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Afternoon Data Analyst R Programming information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do afternoon data analyst r programming jobs pay per year?

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Portland, OR? The most popular types of Data Analyst R Programming jobs in Portland, OR are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Portland, OR? For Afternoon Data Analyst R Programming jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Portland, OR look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Portland, OR are:
What cities near Portland, OR are hiring for Afternoon Data Analyst R Programming jobs? Cities near Portland, OR with the most Afternoon Data Analyst R Programming job openings:
Research Associate

Other

Posted 10 days ago


Oregon Health & Science University rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

106th of 529 rated colleges and universities


Job description

Department Overview

The OHSU Dermatology Research Division merges basic, clinical and translational research in epithelial cell cancers and dermatologic diseases. Our basic and clinician-scientists are committed to innovative research on cancer and inflammation of skin with an impact on understanding causes and improving future treatment of muco-cutaneous diseases and providing more effective patient care.

The person who fills this position will report to Noah Hornick, MD, PhD, Assistant Professor, in investigating methods for surveillance of melanoma recurrence / metastasis, as well as mechanisms of inflammation in the skin during adverse reactions to cancer immunotherapy. Responsibilities will include conducting experimentation that leverages techniques including the processing of human tissue samples (skin, tumor, and blood) in order to extract single cells, nuclei, DNA, RNA, and protein; histologic work including the chromogenic and fluorescent labeling and imaging of slides, preparation of spatial, single-cell, and bulk RNA libraries for sequencing, cell culture, and flow cytometry. The Research Associate will also be responsible for contributing to documentation and data analysis related to this experimentation, as well as to the preparation of figures for publication.

Function/Duties of Position
  • Supports basic day-to-day functions of the lab, including assisting with ordering supplies. Oversees and assists with training of new or temporary students and other personnel. Attends all laboratory research and division/department meetings. 
  • Independently sets up and carries out cell culture experiments with cell lines and primary human skin cells. Analyzes results using techniques listed in position summary. Independently prepares, labels, and images slides using stains, immunolabeling, and in situ hybridization with both chromogens and fluorophores. Processes human blood and tissue to produce single-cell suspensions, single-nucleus suspensions, peripheral blood mononuclear cells, serum, and plasma. Prepares cDNA libraries for sequencing from fixed and frozen tissue through 10X Genomics protocols: Visium, Chromium, Chromium Flex, and Epi Multiome. Prepares and labels single-cell suspensions from patient samples and cultured cells, performs flow cytometry analysis. 
Required Qualifications
  • Master's Degree in relevant field AND 3 years of relevant experience

    • OR

  • Bachelor's Degree in relevant field AND 5 years of relevant experience.

  • At least 1 year of relevant work experience in biomedical research lab

  • Fluency with relevant mathematics / basic statistics, experience with MS Excel 

Preferred Qualifications
  • Master's degree in relevant field and 5 years of relevant experience.

  • Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful
  • Knowledge of immunology, dermatology, or sex hormone biology
Additional Details

The schedule will be full-time (40 hours per week), though the hours can be flexible on mutual agreement and may include evening and weekend work as needed depending on experimental timing demands. The location will be primarily in the dermatology laboratory and associated equipment rooms in CHH1. Specialized experiments will be conducted in core facilities. Exposure as part of this position may include human tissues and fluids.

Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: OTHER

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887