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Junior Data Scientist Biomarkers Statistics(m/w/x)
Analyzing high-dimensional biomarker data using AI tools for external data internalization in biopharma R&D. 1 year R programming experience and strong statistics foundation required; transcriptomic data experience preferred. Work in an R&D-driven biopharma environment.
Requirements
- At least 1 year experience with R programming
- Highly preferred experience with transcriptomic data
- Strong foundation in statistics and/or bioinformatics
- Good understanding of deep learning and AI
- Good knowledge of Python
- Autonomy
- Rigor
- Team player skills
- Master’s Degree in Biostatistics or related fields (Mathematics, Computer Science, Statistics, ENSAI, ISUP, ENSAE, INSA, etc.)
Tasks
- Conduct literature research
- Internalize state-of-the-art AI algorithms
- Implement AI tools for external data internalization
- Analyze high-dimensional biomarker data
- Identify predictive and pharmacodynamic biomarkers
- Integrate multi-omics data using deep learning
- Develop R and Python functions to share methods
- Develop R Shiny applications to share results
- Collaborate with diverse partners
- Contribute to cross-company ML/AI working group
- Emphasize biomarker science in ML/AI applications
- Publish scientific findings
- Present findings in seminars
- Present findings in internal and external webinars
Work Experience
- 1 year
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Deep learning
- AI
- Python
Benefits
Other Benefits
- Diverse, equitable, and inclusive workplace
- Employee Resource Groups
Career Advancement
- Leadership programs
- Growth opportunities
Purpose-Driven Work
- Assignments with actual responsibilities
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Junior Data Scientist Biomarkers Statistics(m/w/x)
Analyzing high-dimensional biomarker data using AI tools for external data internalization in biopharma R&D. 1 year R programming experience and strong statistics foundation required; transcriptomic data experience preferred. Work in an R&D-driven biopharma environment.
Requirements
- At least 1 year experience with R programming
- Highly preferred experience with transcriptomic data
- Strong foundation in statistics and/or bioinformatics
- Good understanding of deep learning and AI
- Good knowledge of Python
- Autonomy
- Rigor
- Team player skills
- Master’s Degree in Biostatistics or related fields (Mathematics, Computer Science, Statistics, ENSAI, ISUP, ENSAE, INSA, etc.)
Tasks
- Conduct literature research
- Internalize state-of-the-art AI algorithms
- Implement AI tools for external data internalization
- Analyze high-dimensional biomarker data
- Identify predictive and pharmacodynamic biomarkers
- Integrate multi-omics data using deep learning
- Develop R and Python functions to share methods
- Develop R Shiny applications to share results
- Collaborate with diverse partners
- Contribute to cross-company ML/AI working group
- Emphasize biomarker science in ML/AI applications
- Publish scientific findings
- Present findings in seminars
- Present findings in internal and external webinars
Work Experience
- 1 year
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Deep learning
- AI
- Python
Benefits
Other Benefits
- Diverse, equitable, and inclusive workplace
- Employee Resource Groups
Career Advancement
- Leadership programs
- Growth opportunities
Purpose-Driven Work
- Assignments with actual responsibilities
About the Company
Sanofi Winthrop Industrie
Industry
Pharmaceuticals
Description
The company is an R&D-driven, AI-powered biopharma company committed to improving people's lives through innovative medicines and vaccines.
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