Scientific Data Analyst
Tasks
- Apply reproducible research frameworks
- Automate data analysis workflows
- Automate quality control
- Build analytical pipelines
- Build reproducible evidence pipelines
- Build reusable packages
- Conduct confirmatory analyses
- Conduct exploratory analyses
- Contribute to standards and methodologies
- Create tables, listings & figures
- Develop and validate analytical outputs
- Develop modular programming
- Drive transition to open source workflows
- Explore and implement AI machine learning tools
- Implement code review
- Implement version control with Git
- Monitor emerging AI ML tools
- Perform clinical trial data analyses
- Provide programming expertise
- Translate SAP into robust code
Perks/Benefits
- Extended parental leave
- Health insurance
- Paid time off
- Public transport coverage
- Remote work
- Second medical opinion
- Teleconsultation
Skills/Tech-stack
ADaM | Artificial Intelligence | Automation | Clinical data | Code review | Confirmatory Data Analysis | Data Analysis | Data Manipulation | Data Visualization | Exploratory Data Analysis | Git | Machine Learning | Modular programming | Python | R | Reproducible Research | SDTM | Version control
Education
Roles
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