Roche
DSX Lead(m/w/x)
Full-timeOn-siteManagement
Basel
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F.F. Hoffmann-La Roche AG
DSX Data Scientist(m/w/x)
Basel
Full-timeOn-siteExperienced
Data Science
Nejo AI Summary
Developing scalable tools and statistical computing workflows for clinical trial data. Proficiency in R or Python, Git, and Docker required. Automation-first IT modernization at a global healthcare company.
Requirements
- Master’s degree or PhD in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or related quantitative discipline
- 2+ years of hands-on experience in data science, statistical computing, software engineering, or related field, preferably in life sciences or healthcare setting (internship and academic experience considered)
- Proficiency in programming languages for statistical computing (e.g., R, Python)
- Familiarity with development tools such as Git, Docker, or workflow automation tools
- Understanding of clinical trial data structures, statistical analysis concepts, or biomedical data (e.g., omics, real-world data, operational data)
- Ability to build, test, and maintain reproducible, well-documented code
- Capacity for independent thinking and decision-making based upon 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, specifically presentation and writing
- Ability to explain complex technical concepts in clear language
- Experience working with diverse data modalities (e.g., clinical, operational, real-world, omics)
- Applying analytical strategies to uncover patterns or insights
- Familiarity with statistical computing workflows in regulated environments
- Familiarity with clinical trial data structures and lifecycle
- Interest in data engineering best practices (e.g., reproducibility, code modularity, testability, documentation)
- Ability to follow and contribute to collaborative development processes (e.g., code reviews, version control, CI)
- Experience contributing to development or extension of statistical platforms, macro libraries, or reusable toolkits
- Strong communication and collaboration skills
- Ability to translate user needs into technical requirements
- Ability to explain complex solutions in accessible terms
- Exposure to automation, workflow orchestration tools (e.g., Airflow, Nextflow), or containerization (e.g., Docker, Kubernetes) is a plus
- Experience working in multi-disciplinary or matrixed R&D teams, preferably in global pharmaceutical or biotech organization
Tasks
- Develop scalable tools and environments
- Create efficient statistical computing workflows
- Maintain next-generation capabilities for automation
- Generate reusable coding macros
- Support advanced data visualization
- Translate scientific and operational needs into solutions
- Design and develop statistical computing environments
- Implement reusable code libraries and automation pipelines
- Collaborate with statisticians and data scientists
- Support exploratory analytics and data visualization
- Apply software engineering best practices
- Participate in continuous improvement of DSX tools
- Incorporate feedback and emerging technologies
- Simplify and innovate DSX processes
- Collaborate with PDD experts to accelerate patient benefits
- Work under general supervision
- Apply independent judgment to prioritize tasks
- Address complex statistical and data issues
- Seek guidance for novel or ambiguous situations
- Adhere to functional standards
- Participate in peer review and mentoring
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Git
- Docker
- Airflow
- Nextflow
- Kubernetes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of F. Hoffmann-La Roche AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Basel
Full-timeOn-siteExperienced
Data Science
Nejo AI Summary
Developing scalable tools and statistical computing workflows for clinical trial data. Proficiency in R or Python, Git, and Docker required. Automation-first IT modernization at a global healthcare company.
Requirements
- Master’s degree or PhD in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or related quantitative discipline
- 2+ years of hands-on experience in data science, statistical computing, software engineering, or related field, preferably in life sciences or healthcare setting (internship and academic experience considered)
- Proficiency in programming languages for statistical computing (e.g., R, Python)
- Familiarity with development tools such as Git, Docker, or workflow automation tools
- Understanding of clinical trial data structures, statistical analysis concepts, or biomedical data (e.g., omics, real-world data, operational data)
- Ability to build, test, and maintain reproducible, well-documented code
- Capacity for independent thinking and decision-making based upon 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, specifically presentation and writing
- Ability to explain complex technical concepts in clear language
- Experience working with diverse data modalities (e.g., clinical, operational, real-world, omics)
- Applying analytical strategies to uncover patterns or insights
- Familiarity with statistical computing workflows in regulated environments
- Familiarity with clinical trial data structures and lifecycle
- Interest in data engineering best practices (e.g., reproducibility, code modularity, testability, documentation)
- Ability to follow and contribute to collaborative development processes (e.g., code reviews, version control, CI)
- Experience contributing to development or extension of statistical platforms, macro libraries, or reusable toolkits
- Strong communication and collaboration skills
- Ability to translate user needs into technical requirements
- Ability to explain complex solutions in accessible terms
- Exposure to automation, workflow orchestration tools (e.g., Airflow, Nextflow), or containerization (e.g., Docker, Kubernetes) is a plus
- Experience working in multi-disciplinary or matrixed R&D teams, preferably in global pharmaceutical or biotech organization
Tasks
- Develop scalable tools and environments
- Create efficient statistical computing workflows
- Maintain next-generation capabilities for automation
- Generate reusable coding macros
- Support advanced data visualization
- Translate scientific and operational needs into solutions
- Design and develop statistical computing environments
- Implement reusable code libraries and automation pipelines
- Collaborate with statisticians and data scientists
- Support exploratory analytics and data visualization
- Apply software engineering best practices
- Participate in continuous improvement of DSX tools
- Incorporate feedback and emerging technologies
- Simplify and innovate DSX processes
- Collaborate with PDD experts to accelerate patient benefits
- Work under general supervision
- Apply independent judgment to prioritize tasks
- Address complex statistical and data issues
- Seek guidance for novel or ambiguous situations
- Adhere to functional standards
- Participate in peer review and mentoring
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Git
- Docker
- Airflow
- Nextflow
- Kubernetes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of F. Hoffmann-La Roche AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
F. Hoffmann-La Roche AG
Industry
Pharmaceuticals
Description
Roche is dedicated to advancing science and ensuring access to healthcare, developing innovative drug products and solutions to prevent, stop, and cure diseases.
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