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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.
