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Data Processing Intern

Elekta · English: C1 (Optional) · Health Care · Cancer Care Centers · Bachelor's Degree · Python · SQL · Power BI · Microsoft Excel · 3 months ago

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Salary

≈ $15k – $27k per year (Estimated)

Location

In office (Shanghai)

Seniority

Intern

Employment

Internship

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Aug 11, 2026. Elekta scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Elekta

Elekta is a Swedish medical technology company headquartered in Stockholm that develops radiation therapy and radiosurgery systems, including the Elekta Unity MR-Linac, the Versa HD and Harmony linear accelerators, Leksell Gamma Knife Esprit and oncology software such as Elekta ONE. Founded in 1972 and listed on Nasdaq Stockholm, it employs more than 4,000 people with offices in over 40 countries, and its solutions treat more than 2 million patients a year in over 130 countries. Elekta hires software and test engineers in Crawley and Helsinki, field service engineers, account managers, manufacturing technicians and finance and HR staff.

elekta.com · HQ: Stockholm, Sweden · EHR & Clinical Software · Medical Imaging Systems · Surgical Instruments & Devices · 1001-5000 employees · Est. 1972

Tech stack of Elekta

Are you a current Elekta employee?

Please click here to apply through our internal career siteFind Jobs - Elekta.

We don’t just build technology. We build hope for everyone dealing with Cancer.

Elekta is shaping the standard of care, together with healthcare providers, by developing precision radiation medicine that brings advanced radiotherapy into routine clinical practice. Our solutions support consistent, efficient and personalized care, addressing evolving patient needs. Through adaptive radiotherapy, precision treatment delivery and integrated workflows, Elekta supports care teams across a range of clinical settings. Each year more than 2 million patients are treated using Elekta solutions across over 130 countries. Elekta is headquartered in Stockholm, Sweden, with over 4,000 employees and offices in more than 40 countries. The company is listed on Nasdaq Stockholm. For more information, visit elekta.com.

Description

Elekta is a global solutions company headquartered in Sweden with a long-standing commitment to advancing radiation therapy. We are seeking a detail-oriented and fast-learning Data Processing Intern to support data organization, annotation, quality assurance, and analysis activities for medical imaging and radiation therapy R&D projects. You will work closely with algorithm engineers, software engineers, and clinical experts on real-world development projects, providing high-quality data support for AI algorithm development and product innovation.

Responsibilities

• Collect, organize, and standardize medical imaging, clinical, and other R&D-related data.

Perform data annotation, data cleaning, and quality assurance activities according to project requirements and specifications.
Assist in building and maintaining datasets to ensure completeness, consistency, and accuracy.
Create and maintain documentation, operating procedures, and guidelines related to data processing activities.
Support the R&D team in data analysis and reporting.
Assist the algorithm team in data preparation activities prior to model training.
Authorities
NA
Relevant Knowledge, skills and competencies
Required
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Biomedical Engineering, Mathematics, Statistics, Artificial Intelligence, Medical Informatics, or a related field.
Basic programming skills in Python, with experience using libraries such as Pandas and NumPy for data processing.
Proficient in Microsoft Excel for data organization and analysis.
Familiar with common data formats such as CSV, Excel, and JSON.
Available to work at least 4 days per week on a full-time basis.

Preferred

Experience with data annotation, data analysis, or machine learning projects.
Background in medical imaging, healthcare AI, or computer vision.
Familiarity with SQL, Power BI, Jupyter Notebook, or similar tools.

• Good written and reading proficiency in English.

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