Roche
Internship in Computational Biology and Medicine - Ophthalmology(m/w/x)
Full-timeInternshipOn-site
Basel
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RORoche Pharma Research and Early Development (pRED)
Intern for Computational Genomics in Large Clinical Cancer Cohorts for Precision Oncology(m/w/x)
Basel
Full-timeInternshipOn-site
Data Science
Nejo AI Summary
Analyzing multi-omic and clinical data for precision oncology at Roche pRED. Strong R and git coding skills required. Research project experience a plus.
Requirements
- Master’s program enrollment or recent graduation in computational biology, computer science, statistics, or related field
- Strong coding skills with R and git
- Research-driven mindset; prior research project experience or publications are a plus
- Independence, analytical skills, and collaboration
- Passion for translating data into patient impact
- Proficiency in English (written and verbal)
- Essential prior experience with genomic & transcriptomics datasets
- Prior experience in cancer biology, cell identity mapping/lineage programs, patient enrichment / biomarker analyses, and/or applied ML methods is a plus
Tasks
- Analyze and integrate multi-omic and clinical data
- Perform comparative and enrichment analyses
- Identify clinically relevant molecular phenotypes
- Identify biomarkers, including resistance-associated states
- Identify lineage programs
- Evaluate and benchmark findings against established approaches
- Benchmark findings against gene signatures
- Partner with computational biologists
- Partner with translational scientists
- Partner with biomarker scientists
- Drive creative, independent solutions
- Deliver high-quality analysis code
- Deliver reproducible outputs in a version-controlled format
- Provide clear documentation for code and outputs
- Contribute to real-world therapeutic research
- Prepare results for conference presentations
- Prepare results for journal publications
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- R
- git
- genomic datasets
- transcriptomics datasets
- cancer biology
- cell identity mapping
- lineage programs
- patient enrichment
- biomarker analyses
- applied ML methods
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche Pharma Research and Early Development (pRED) and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RORoche Pharma Research and Early Development (pRED)
Intern for Computational Genomics in Large Clinical Cancer Cohorts for Precision Oncology(m/w/x)
Basel
Full-timeInternshipOn-site
Data Science
Nejo AI Summary
Analyzing multi-omic and clinical data for precision oncology at Roche pRED. Strong R and git coding skills required. Research project experience a plus.
Requirements
- Master’s program enrollment or recent graduation in computational biology, computer science, statistics, or related field
- Strong coding skills with R and git
- Research-driven mindset; prior research project experience or publications are a plus
- Independence, analytical skills, and collaboration
- Passion for translating data into patient impact
- Proficiency in English (written and verbal)
- Essential prior experience with genomic & transcriptomics datasets
- Prior experience in cancer biology, cell identity mapping/lineage programs, patient enrichment / biomarker analyses, and/or applied ML methods is a plus
Tasks
- Analyze and integrate multi-omic and clinical data
- Perform comparative and enrichment analyses
- Identify clinically relevant molecular phenotypes
- Identify biomarkers, including resistance-associated states
- Identify lineage programs
- Evaluate and benchmark findings against established approaches
- Benchmark findings against gene signatures
- Partner with computational biologists
- Partner with translational scientists
- Partner with biomarker scientists
- Drive creative, independent solutions
- Deliver high-quality analysis code
- Deliver reproducible outputs in a version-controlled format
- Provide clear documentation for code and outputs
- Contribute to real-world therapeutic research
- Prepare results for conference presentations
- Prepare results for journal publications
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- R
- git
- genomic datasets
- transcriptomics datasets
- cancer biology
- cell identity mapping
- lineage programs
- patient enrichment
- biomarker analyses
- applied ML methods
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche Pharma Research and Early Development (pRED) and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche Pharma Research and Early Development (pRED)
Industry
Pharmaceuticals
Description
Roche Pharma Research and Early Development (pRED) transforms cutting-edge science into life-changing therapies by decoding profiles at scale to drive precision oncology through patient stratification and biomarker discovery.
Not a perfect match?
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