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Computational Statistician - Oncology(m/w/x)
Computational statistics for high-dimensional molecular data in oncology at global pharma. PhD in Biostatistics or Bioinformatics, plus HPC cluster experience required. Work within a large, global scientific organization.
Requirements
- PhD in Biostatistics, Bioinformatics, or related field
- Proven experience with high-dimensional molecular data sets
- Proficiency in R and/or Python
- Solid knowledge of Linux/Unix
- Data processing in HPC cluster environment
- Technical expertise in population statistical genetics, multi-omics data analysis, or AI/ML applications
- Foundational understanding of disease biology
- Expertise in biological data analysis
- Prior experience in the pharmaceutical industry
- Exposure to clinical data (e.g., CDISC standards)
- Proven matrix leadership skills
- History of leading high-performing teams
- Exceptional communication and influence skills
- Ability to navigate complexity and adapt
- Focus on collaborative teamwork and exceptional delivery
Tasks
- Execute the data and analytics strategy
- Support team members' knowledge and skills
- Foster a rich feedback culture
- Promote continuous improvement methodologies
- Create an inclusive and collaborative workplace
- Represent Computational Biology to stakeholders
- Collaborate with stakeholders to prioritize activities
- Generate objective insights to inform strategy
- Deliver high-value data insights for the portfolio
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Linux/Unix
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Computational Statistician - Oncology(m/w/x)
Computational statistics for high-dimensional molecular data in oncology at global pharma. PhD in Biostatistics or Bioinformatics, plus HPC cluster experience required. Work within a large, global scientific organization.
Requirements
- PhD in Biostatistics, Bioinformatics, or related field
- Proven experience with high-dimensional molecular data sets
- Proficiency in R and/or Python
- Solid knowledge of Linux/Unix
- Data processing in HPC cluster environment
- Technical expertise in population statistical genetics, multi-omics data analysis, or AI/ML applications
- Foundational understanding of disease biology
- Expertise in biological data analysis
- Prior experience in the pharmaceutical industry
- Exposure to clinical data (e.g., CDISC standards)
- Proven matrix leadership skills
- History of leading high-performing teams
- Exceptional communication and influence skills
- Ability to navigate complexity and adapt
- Focus on collaborative teamwork and exceptional delivery
Tasks
- Execute the data and analytics strategy
- Support team members' knowledge and skills
- Foster a rich feedback culture
- Promote continuous improvement methodologies
- Create an inclusive and collaborative workplace
- Represent Computational Biology to stakeholders
- Collaborate with stakeholders to prioritize activities
- Generate objective insights to inform strategy
- Deliver high-value data insights for the portfolio
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Linux/Unix
About the Company
1201 F. Hoffmann-La Roche AG
Industry
Pharmaceuticals
Description
Roche is dedicated to advancing science and ensuring access to healthcare for everyone, with over 100,000 employees globally.
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