Roche
Internship in Computational Biology and Medicine - Ophthalmology(m/w/x)
VollzeitPraktikumnur vor Ort
Basel
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
RORoche Pharma Research and Early Development (pRED)
Intern for Computational Genomics in Large Clinical Cancer Cohorts for Precision Oncology(m/w/x)
Basel
VollzeitPraktikumVor Ort
Data Science
Nejo KI-Zusammenfassung
Analyzing multi-omic and clinical data for precision oncology at Roche pRED. Strong R and git coding skills required. Research project experience a plus.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- git
- genomic datasets
- transcriptomics datasets
- cancer biology
- cell identity mapping
- lineage programs
- patient enrichment
- biomarker analyses
- applied ML methods
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche Pharma Research and Early Development (pRED) erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Roche
Internship: Agentic Workflows for Single-Cell RNA-seq Based Target Discovery(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Intern (Machine Learning – RNA Splicing)(m/w/x)
VollzeitPraktikumnur vor OrtBasel - 1201 F. Hoffmann-La Roche AG
PhD Internship for Mathematics, Statistics PhD students - RiSE(m/w/x)
VollzeitPraktikumnur vor OrtBasel - 1201 F. Hoffmann-La Roche AG
PhD Internship for Mathematics, Statistics PhD students - RiSE(m/w/x)
VollzeitPraktikumnur vor OrtBasel
RORoche Pharma Research and Early Development (pRED)
Intern for Computational Genomics in Large Clinical Cancer Cohorts for Precision Oncology(m/w/x)
Basel
VollzeitPraktikumVor Ort
Data Science
Nejo KI-Zusammenfassung
Analyzing multi-omic and clinical data for precision oncology at Roche pRED. Strong R and git coding skills required. Research project experience a plus.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- git
- genomic datasets
- transcriptomics datasets
- cancer biology
- cell identity mapping
- lineage programs
- patient enrichment
- biomarker analyses
- applied ML methods
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche Pharma Research and Early Development (pRED) erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Roche Pharma Research and Early Development (pRED)
Branche
Pharmaceuticals
Beschreibung
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.
Noch nicht perfekt?
- Roche
Internship in Computational Biology and Medicine - Ophthalmology(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Internship: Agentic Workflows for Single-Cell RNA-seq Based Target Discovery(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Intern (Machine Learning – RNA Splicing)(m/w/x)
VollzeitPraktikumnur vor OrtBasel - 1201 F. Hoffmann-La Roche AG
PhD Internship for Mathematics, Statistics PhD students - RiSE(m/w/x)
VollzeitPraktikumnur vor OrtBasel - 1201 F. Hoffmann-La Roche AG
PhD Internship for Mathematics, Statistics PhD students - RiSE(m/w/x)
VollzeitPraktikumnur vor OrtBasel