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Software Engineering Intern - Data Architecture (Bioanalytics)(m/w/x)
Developing a digitalization platform for bioanalytics data and building data analysis pipelines in Genedata Screener. Experience with Python or R, SQL, and Git required. 6-month contract with extension possibility.
Requirements
- Bachelor's or Master's degree in Biology, Chemistry, Computer Science, Data Science, or related field, or enrollment in Master's/PhD program
- Strong experience in Python or R, and basic understanding or interest in data science
- Practical experience with R-Shiny and interest in platform integrations
- Experience with SQL, backend solutions, and API development
- Experience with version control systems (Git)
- Experience or interest in lab automation and robotics
- Strong analytical and problem-solving skills
- Good command of spoken and written English
- NON-EU/-EFTA nationals need university confirmation for mandatory internship
Tasks
- Contribute to lab automation and digitalization projects
- Develop a digitalization platform for bioanalytics data
- Build a data analysis pipeline in Genedata Screener
- Collaborate with interdisciplinary teams to automate workflows
- Analyze data and support ongoing research
- Create a front-end and API integration for a new database
- Translate an existing R-Shiny application into Genedata Screener
- Gain hands-on experience with automated assays and workflows
- Support projects focused on digitalization and data management
- Learn about cutting-edge technologies in pharmaceutical R&D
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- R-Shiny
- Genedata Screener
- SQL
- API
- Git
Benefits
Other Benefits
- 6-month contract with extension possibility
Informal Culture
- Encourages personal expression
- Open dialogue
- Genuine connections
- Valued, accepted, and respected
Mentorship & Coaching
- Thrive personally and professionally
Learning & Development
- Learn cutting-edge technologies
- Learn pharmaceutical research and development methodologies
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Software Engineering Intern - Data Architecture (Bioanalytics)(m/w/x)
Developing a digitalization platform for bioanalytics data and building data analysis pipelines in Genedata Screener. Experience with Python or R, SQL, and Git required. 6-month contract with extension possibility.
Requirements
- Bachelor's or Master's degree in Biology, Chemistry, Computer Science, Data Science, or related field, or enrollment in Master's/PhD program
- Strong experience in Python or R, and basic understanding or interest in data science
- Practical experience with R-Shiny and interest in platform integrations
- Experience with SQL, backend solutions, and API development
- Experience with version control systems (Git)
- Experience or interest in lab automation and robotics
- Strong analytical and problem-solving skills
- Good command of spoken and written English
- NON-EU/-EFTA nationals need university confirmation for mandatory internship
Tasks
- Contribute to lab automation and digitalization projects
- Develop a digitalization platform for bioanalytics data
- Build a data analysis pipeline in Genedata Screener
- Collaborate with interdisciplinary teams to automate workflows
- Analyze data and support ongoing research
- Create a front-end and API integration for a new database
- Translate an existing R-Shiny application into Genedata Screener
- Gain hands-on experience with automated assays and workflows
- Support projects focused on digitalization and data management
- Learn about cutting-edge technologies in pharmaceutical R&D
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- R-Shiny
- Genedata Screener
- SQL
- API
- Git
Benefits
Other Benefits
- 6-month contract with extension possibility
Informal Culture
- Encourages personal expression
- Open dialogue
- Genuine connections
- Valued, accepted, and respected
Mentorship & Coaching
- Thrive personally and professionally
Learning & Development
- Learn cutting-edge technologies
- Learn pharmaceutical research and development methodologies
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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