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Data Innovation Specialist(m/w/x)
Prototyping novel data methods with AI and knowledge graphs for patient-focused product development. 2-4 years data-related project experience and basic Python/R scripting needed. Cross-functional collaboration with scientists and engineers.
Requirements
- Bachelor’s or Master’s degree in Data Science, Informatics, Life Sciences, or related technical field
- Minimum of 2-4 years of experience working on data-related or innovation-support projects, or advanced degree with 0-2 years of equivalent work experience
- Basic familiarity with scripting languages (e.g., Python or R) and version control tools (e.g., Git)
- Ability to work collaboratively and document technical findings clearly
- Capacity for independent thinking and decision-making based on sound principles
- Excellent strategic agility including problem-solving and critical thinking skills
- Respect for cultural differences in global workplace interactions
- Excellent verbal and written communication skills, ability to explain complex technical concepts clearly
- Exposure to real-world data or research informatics in a biomedical setting
- Interest in emerging technologies such as machine learning, knowledge graphs, or clinical AI
- Ability to summarize results for both technical and non-technical audiences
Tasks
- Identify and prototype novel data methods
- Scale innovative technologies for data usage
- Explore emerging capabilities like AI and knowledge graphs
- Collaborate with scientists and engineers on proof-of-concepts
- Validate innovative solutions and assess feasibility
- Perform data exploration and documentation for innovation projects
- Build reproducible pipelines for exploratory analyses
- Investigate new data science techniques with colleagues
- Participate in innovation workshops and sprint reviews
- Maintain structured records of findings and test results
- Assess new data use cases based on internal gaps
- Engage in experimentation and documentation for workflows
- Share best practices from innovation projects across RWCDS
- Ensure compliance with data privacy and security regulations
Work Experience
- 2 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Git
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Data Innovation Specialist(m/w/x)
Prototyping novel data methods with AI and knowledge graphs for patient-focused product development. 2-4 years data-related project experience and basic Python/R scripting needed. Cross-functional collaboration with scientists and engineers.
Requirements
- Bachelor’s or Master’s degree in Data Science, Informatics, Life Sciences, or related technical field
- Minimum of 2-4 years of experience working on data-related or innovation-support projects, or advanced degree with 0-2 years of equivalent work experience
- Basic familiarity with scripting languages (e.g., Python or R) and version control tools (e.g., Git)
- Ability to work collaboratively and document technical findings clearly
- Capacity for independent thinking and decision-making based on sound principles
- Excellent strategic agility including problem-solving and critical thinking skills
- Respect for cultural differences in global workplace interactions
- Excellent verbal and written communication skills, ability to explain complex technical concepts clearly
- Exposure to real-world data or research informatics in a biomedical setting
- Interest in emerging technologies such as machine learning, knowledge graphs, or clinical AI
- Ability to summarize results for both technical and non-technical audiences
Tasks
- Identify and prototype novel data methods
- Scale innovative technologies for data usage
- Explore emerging capabilities like AI and knowledge graphs
- Collaborate with scientists and engineers on proof-of-concepts
- Validate innovative solutions and assess feasibility
- Perform data exploration and documentation for innovation projects
- Build reproducible pipelines for exploratory analyses
- Investigate new data science techniques with colleagues
- Participate in innovation workshops and sprint reviews
- Maintain structured records of findings and test results
- Assess new data use cases based on internal gaps
- Engage in experimentation and documentation for workflows
- Share best practices from innovation projects across RWCDS
- Ensure compliance with data privacy and security regulations
Work Experience
- 2 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Git
About the Company
1201 F. Hoffmann-La Roche AG
Industry
Healthcare
Description
The company focuses on developing innovative products that make a meaningful difference for patients worldwide.
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