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1201 F. Hoffmann-La Roche AG
13d ago

Data Innovation Specialist(m/w/x)

Basel
Full-timeOn-siteExperienced
AI/ML
Data Science

Description

As a Data Innovation Specialist, you will explore cutting-edge technologies and collaborate with diverse teams to prototype and validate innovative data solutions, all while ensuring compliance with data privacy standards.

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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

Education

Bachelor's degree
OR
Master's degree

Work Experience

2 - 4 years

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

Tools & Technologies

PythonRGit

Languages

English – Business Fluent

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