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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.
Anforderungen
- 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)
Aufgaben
- 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
Ausbildung
- Laufendes StudiumODER
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- Python
- git
- Linux/Unix
- HPC cluster
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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.
Anforderungen
- 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)
Aufgaben
- 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
Ausbildung
- Laufendes StudiumODER
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- Python
- git
- Linux/Unix
- HPC cluster
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.
Noch nicht perfekt?
- 1201 F. Hoffmann-La Roche AG
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