Roche
Internship in Computational Biology and Medicine - Ophthalmology(m/w/x)
VollzeitPraktikumnur vor Ort
Basel
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
RORoche
Internship in Computational Biology: CVRM Genetics(m/w/x)
Basel
VollzeitPraktikumVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Analyzing large-scale genomic data for chronic kidney disease and metabolic dysfunction. Proficiency in R, Python, and genetic analysis tools required. University confirmation for mandatory internship.
Anforderungen
- Master’s degree in Systems Biology, Life Sciences, Biotechnology, Bioengineering or related discipline
- Strong coding experience in R and proficiency in git/version control
- Proficiency in Python or experience developing R packages
- Hands-on experience with genetic data analysis tools (Plink, BCFtools, REGENIE)
- Foundational understanding of GWAS or Polygenic Risk Scores (PGS)
- Expertise in quantitative statistics and data modeling
- Expertise in regression, linear models, and hypothesis testing
- Familiarity with large biobanks (UK Biobank)
- Familiarity with proteomics data
- Familiarity with computationally intensive environments (HPC clusters, Docker, Snakemake)
- Strong interest in human genetics and metabolic diseases
- Curiosity to apply AI tools (Gemini, ChatGPT) to novel biological methodologies
- Creative problem-solver and quick learner
- Productivity when dealing with ambiguity and experimenting with new approaches
- Strong collaboration skills
- Organizational skills and initiative to drive projects
- Effective and clear communication in English (written and spoken)
Aufgaben
- Work with large-scale genomic data
- Produce Polygenic Risk Scores (PGS)
- Investigate complex genetic architecture of chronic kidney disease (CKD)
- Explore metabolic dysfunction (type 2 diabetes, obesity endotypes)
- Build automated PGS workflows
- Map complex genetic architecture of Cardio-Renal-Metabolic diseases
- Define mechanistic endotypes through patient clustering
- Identify resilient outliers in genetic risk
- Uncover protective modifiers
- Mine large-scale genomic, proteomics, and electronic health record datasets
- Drive target discovery
- Translate complex genetic architecture into actionable biological insights
- Contribute to drug development
- Gain experience in high-throughput genomic analysis
- Perform advanced patient stratification at population scale
- Learn precision medicine methodologies
- Understand Pharmaceutical R&D workflows
- Influence selection of new therapeutic targets
- Develop collaboration and strategy skills
- Work in a team culture valuing scientific rigor and growth
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- git
- Python
- Plink
- BCFtools
- REGENIE
- UK Biobank
- HPC clusters
- Docker
- Snakemake
- Gemini
- ChatGPT
Benefits
Sonstige Vorteile
- University confirmation for mandatory internship (for non-EU/EFTA citizens)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche 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 Pharma Research and Early Development (pRED)
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RORoche
Internship in Computational Biology: CVRM Genetics(m/w/x)
Basel
VollzeitPraktikumVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Analyzing large-scale genomic data for chronic kidney disease and metabolic dysfunction. Proficiency in R, Python, and genetic analysis tools required. University confirmation for mandatory internship.
Anforderungen
- Master’s degree in Systems Biology, Life Sciences, Biotechnology, Bioengineering or related discipline
- Strong coding experience in R and proficiency in git/version control
- Proficiency in Python or experience developing R packages
- Hands-on experience with genetic data analysis tools (Plink, BCFtools, REGENIE)
- Foundational understanding of GWAS or Polygenic Risk Scores (PGS)
- Expertise in quantitative statistics and data modeling
- Expertise in regression, linear models, and hypothesis testing
- Familiarity with large biobanks (UK Biobank)
- Familiarity with proteomics data
- Familiarity with computationally intensive environments (HPC clusters, Docker, Snakemake)
- Strong interest in human genetics and metabolic diseases
- Curiosity to apply AI tools (Gemini, ChatGPT) to novel biological methodologies
- Creative problem-solver and quick learner
- Productivity when dealing with ambiguity and experimenting with new approaches
- Strong collaboration skills
- Organizational skills and initiative to drive projects
- Effective and clear communication in English (written and spoken)
Aufgaben
- Work with large-scale genomic data
- Produce Polygenic Risk Scores (PGS)
- Investigate complex genetic architecture of chronic kidney disease (CKD)
- Explore metabolic dysfunction (type 2 diabetes, obesity endotypes)
- Build automated PGS workflows
- Map complex genetic architecture of Cardio-Renal-Metabolic diseases
- Define mechanistic endotypes through patient clustering
- Identify resilient outliers in genetic risk
- Uncover protective modifiers
- Mine large-scale genomic, proteomics, and electronic health record datasets
- Drive target discovery
- Translate complex genetic architecture into actionable biological insights
- Contribute to drug development
- Gain experience in high-throughput genomic analysis
- Perform advanced patient stratification at population scale
- Learn precision medicine methodologies
- Understand Pharmaceutical R&D workflows
- Influence selection of new therapeutic targets
- Develop collaboration and strategy skills
- Work in a team culture valuing scientific rigor and growth
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- git
- Python
- Plink
- BCFtools
- REGENIE
- UK Biobank
- HPC clusters
- Docker
- Snakemake
- Gemini
- ChatGPT
Benefits
Sonstige Vorteile
- University confirmation for mandatory internship (for non-EU/EFTA citizens)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche 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
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Noch nicht perfekt?
- Roche
Internship in Computational Biology and Medicine - Ophthalmology(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche Pharma Research and Early Development (pRED)
Intern for Computational Genomics in Large Clinical Cancer Cohorts for Precision Oncology(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Intern (Machine Learning – RNA Splicing)(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
Internship – Machine Learning for Antibody Discovery from Sequencing Data(m/w/x)
VollzeitPraktikumnur vor OrtBasel