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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
- Home
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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
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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