Roche
ADS Programmer(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Basel
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
RORoche
ADS Programmer, Early Development(m/w/x)
Basel
VollzeitVor OrtBerufserfahren
Data Science
Nejo KI-Zusammenfassung
Programming analysis datasets and custom visualizations for clinical studies in pharmaceutical development. 2-4 years statistical programming experience or relevant advanced degree expected. Work in a global healthcare setting.
Anforderungen
- Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field
- 2 to 4 years statistical programming experience, or advanced degree with 0 to 2 years equivalent work experience
- Basic proficiency in modern programming language (SAS, R, or Python)
- Understanding of data integrity principles and quality control processes
- Effective work with structured and semi-structured data
- Curiosity and willingness to learn early clinical development analytical needs
- Strong logical thinking, attention to detail, and effective written documentation
- Respect for cultural differences in global workplace
- Familiarity with non-standard or exploratory clinical data (biomarkers, -omics, real-world data)
- Exposure to data visualization techniques and tools (ggplot2, plotly, SAS Graph, Shiny)
- Awareness of early development study designs and data implications
- Familiarity with data traceability, metadata documentation, or audit readiness
- Interest in programming for decision support, hypothesis generation, or translational insight
- Ability to follow/contribute to reproducible programming workflows (version control, notebooks, modular scripts)
- Initiative in learning new tools or process improvement
- Experience supporting early-phase clinical trials (adaptive designs, rapid data cycles, evolving endpoints)
Aufgaben
- Develop exploratory datasets for early clinical studies
- Validate exploratory datasets and outputs
- Create custom data structures and visualizations
- Ensure outputs meet protocol and analysis requirements
- Generate datasets, summary outputs, and visual displays
- Utilize validated tools and standard code libraries
- Contribute to documentation practices
- Implement quality control practices
- Ensure output transparency and reproducibility
- Identify and resolve basic technical issues
- Perform structured checks on code and output
- Escalate technical issues when necessary
- Learn early development programming concepts
- Apply flexible data design
- Ensure data traceability
- Generate fit-for-purpose outputs
- Deepen understanding of early clinical research
- Learn about exploratory endpoints
- Monitor evolving data standards
- Apply independent judgment
- Interpret guidance effectively
- Prioritize responsibilities
- Make context-driven decisions
Berufserfahrung
- 2 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SAS
- R
- Python
- ggplot2
- plotly
- SAS Graph
- Shiny
- version control
- notebooks
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Basel
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Data Science
Nejo KI-Zusammenfassung
Programming analysis datasets and custom visualizations for clinical studies in pharmaceutical development. 2-4 years statistical programming experience or relevant advanced degree expected. Work in a global healthcare setting.
Anforderungen
- Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field
- 2 to 4 years statistical programming experience, or advanced degree with 0 to 2 years equivalent work experience
- Basic proficiency in modern programming language (SAS, R, or Python)
- Understanding of data integrity principles and quality control processes
- Effective work with structured and semi-structured data
- Curiosity and willingness to learn early clinical development analytical needs
- Strong logical thinking, attention to detail, and effective written documentation
- Respect for cultural differences in global workplace
- Familiarity with non-standard or exploratory clinical data (biomarkers, -omics, real-world data)
- Exposure to data visualization techniques and tools (ggplot2, plotly, SAS Graph, Shiny)
- Awareness of early development study designs and data implications
- Familiarity with data traceability, metadata documentation, or audit readiness
- Interest in programming for decision support, hypothesis generation, or translational insight
- Ability to follow/contribute to reproducible programming workflows (version control, notebooks, modular scripts)
- Initiative in learning new tools or process improvement
- Experience supporting early-phase clinical trials (adaptive designs, rapid data cycles, evolving endpoints)
Aufgaben
- Develop exploratory datasets for early clinical studies
- Validate exploratory datasets and outputs
- Create custom data structures and visualizations
- Ensure outputs meet protocol and analysis requirements
- Generate datasets, summary outputs, and visual displays
- Utilize validated tools and standard code libraries
- Contribute to documentation practices
- Implement quality control practices
- Ensure output transparency and reproducibility
- Identify and resolve basic technical issues
- Perform structured checks on code and output
- Escalate technical issues when necessary
- Learn early development programming concepts
- Apply flexible data design
- Ensure data traceability
- Generate fit-for-purpose outputs
- Deepen understanding of early clinical research
- Learn about exploratory endpoints
- Monitor evolving data standards
- Apply independent judgment
- Interpret guidance effectively
- Prioritize responsibilities
- Make context-driven decisions
Berufserfahrung
- 2 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SAS
- R
- Python
- ggplot2
- plotly
- SAS Graph
- Shiny
- version control
- notebooks
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Roche
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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