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Internship in Computational Biology and Medicine - Ophthalmology(m/w/x)
Interpreting Aqueous Humour Atlas data and performing pQTL/mQTL analyses in drug discovery. Master's enrollment in computational biology or related field, plus strong R/Python coding skills needed. Exposure to cutting-edge drug discovery research at a global pharmaceutical firm.
Requirements
- High motivation
- Enrollment in Master’s program or recent graduate in computational biology, computer science, statistics, or related field
- Strong coding skills in R or Python
- Experience with version control systems like git
- Prior experience with Omics datasets (gene, protein, metabolite expression data)
- Research-driven mindset
- Prior research project experience or publications (plus)
- Independent, analytical, and collaborative
- Passion for translating data into patient impact
- Proficiency in written and verbal English
- Working knowledge of Linux/Unix environment (plus)
- Experience processing data on HPC cluster (plus)
- Prior experience in neuroscience, ophthalmology, or biomarker analyses (plus)
Tasks
- Manage pre-analytical data
- Perform quality control on phenotypic and genetic data
- Interpret Aqueous Humour (AH) Atlas data
- Perform pQTL analyses
- Perform mQTL analyses
- Analyze complex high-dimensional datasets
- Post-process analysis results
- Summarize analysis results
- Interpret analysis results
- Generate data-driven insights
- Identify novel biomarkers
- Identify novel therapeutic targets
- Present results collaboratively and professionally
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- git
- Linux/Unix
- HPC cluster
Not a perfect match?
- 1201 F. Hoffmann-La Roche AGFull-timeOn-siteExperiencedBasel
- Roche
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Internship in Computational Biology and Medicine - Ophthalmology(m/w/x)
Interpreting Aqueous Humour Atlas data and performing pQTL/mQTL analyses in drug discovery. Master's enrollment in computational biology or related field, plus strong R/Python coding skills needed. Exposure to cutting-edge drug discovery research at a global pharmaceutical firm.
Requirements
- High motivation
- Enrollment in Master’s program or recent graduate in computational biology, computer science, statistics, or related field
- Strong coding skills in R or Python
- Experience with version control systems like git
- Prior experience with Omics datasets (gene, protein, metabolite expression data)
- Research-driven mindset
- Prior research project experience or publications (plus)
- Independent, analytical, and collaborative
- Passion for translating data into patient impact
- Proficiency in written and verbal English
- Working knowledge of Linux/Unix environment (plus)
- Experience processing data on HPC cluster (plus)
- Prior experience in neuroscience, ophthalmology, or biomarker analyses (plus)
Tasks
- Manage pre-analytical data
- Perform quality control on phenotypic and genetic data
- Interpret Aqueous Humour (AH) Atlas data
- Perform pQTL analyses
- Perform mQTL analyses
- Analyze complex high-dimensional datasets
- Post-process analysis results
- Summarize analysis results
- Interpret analysis results
- Generate data-driven insights
- Identify novel biomarkers
- Identify novel therapeutic targets
- Present results collaboratively and professionally
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- git
- Linux/Unix
- HPC cluster
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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