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Computational Biology and Medicine-Ophthalmology(m/w/x)
Analyzing high-dimensional genomic and multi-omics datasets for therapeutic development. PhD in computational biology/biostatistics and drug discovery experience required. Collaboration with AI/ML colleagues on data strategy.
Requirements
- Dedication to scientific challenges
- PhD in Bioinformatics, Biostatistics, Computational Biology, or similar field
- Demonstrated experience in drug discovery or translational research
- Experience in disease biology; expertise in ophthalmology is a plus
- Technical expertise in analysis of high-dimensional genomic data, population statistical genetics, or integrative multi-omics
- Programming skills in R and/or Python; working knowledge of Linux/Unix and HPC cluster
- Commitment to clean, well-documented code and reproducible research
- Strong communication skills for presenting complex results
- Ability to quickly grasp topics and formulate problem statements
- Ability to work effectively in a collaborative, cross-functional environment
- Focus, collaborative teamwork, and exceptional delivery
Tasks
- Analyze high-dimensional datasets for therapeutic development
- Collaborate with AI/ML colleagues to apply statistical methods
- Deliver data-driven insights for portfolio decision-making
- Contribute to the data and analytics strategy for Ophthalmology
- Develop relationships with stakeholders in the therapeutic area
- Represent the Computational Biology team as a scientific partner
- Foster a culture of scientific rigor and continuous improvement
- Support team members' scientific growth through knowledge sharing
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Linux
- Unix
- HPC cluster
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Computational Biology and Medicine-Ophthalmology(m/w/x)
Analyzing high-dimensional genomic and multi-omics datasets for therapeutic development. PhD in computational biology/biostatistics and drug discovery experience required. Collaboration with AI/ML colleagues on data strategy.
Requirements
- Dedication to scientific challenges
- PhD in Bioinformatics, Biostatistics, Computational Biology, or similar field
- Demonstrated experience in drug discovery or translational research
- Experience in disease biology; expertise in ophthalmology is a plus
- Technical expertise in analysis of high-dimensional genomic data, population statistical genetics, or integrative multi-omics
- Programming skills in R and/or Python; working knowledge of Linux/Unix and HPC cluster
- Commitment to clean, well-documented code and reproducible research
- Strong communication skills for presenting complex results
- Ability to quickly grasp topics and formulate problem statements
- Ability to work effectively in a collaborative, cross-functional environment
- Focus, collaborative teamwork, and exceptional delivery
Tasks
- Analyze high-dimensional datasets for therapeutic development
- Collaborate with AI/ML colleagues to apply statistical methods
- Deliver data-driven insights for portfolio decision-making
- Contribute to the data and analytics strategy for Ophthalmology
- Develop relationships with stakeholders in the therapeutic area
- Represent the Computational Biology team as a scientific partner
- Foster a culture of scientific rigor and continuous improvement
- Support team members' scientific growth through knowledge sharing
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Linux
- Unix
- HPC cluster
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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