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Computational biologist/Expert I Data Science (Junior position)(m/w/x)
Analyzing high-dimensional biological data for radioligand therapy drug discovery. Python/R proficiency and omics dataset processing expertise needed. Collaboration with biologists, chemists, and data scientists.
Requirements
- M.Sc. in bioinformatics, computer science, or related field
- Proficiency in Python or R for bioinformatics
- Experience with UNIX/Linux environments
- Expertise in processing omics datasets
- Expertise in visualizing omics datasets
- Experience with transcriptomics data
- Experience with single-cell data
- Familiarity with version control
- Familiarity with reproducible workflow practices
- Knowledge of cancer genomics advantageous
- Knowledge of proteomics advantageous
- Knowledge of immuno-oncology advantageous
- Strong communication skills
- Ability to explain complex concepts
- Fluency in English (oral and written)
Tasks
- Collaborate with biologists, chemists, and data scientists
- Support drug discovery for novel cell surface targets
- Analyze high-dimensional biological data
- Interpret NGS, spatial transcriptomics, and high-throughput screens
- Inform experimental design and target selection
- Apply bioinformatics and machine learning techniques
- Identify therapeutic targets and biomarkers for RLT
- Determine mechanisms of action relevant to RLT
- Mine and integrate diverse datasets
- Generate actionable insights from public and clinical data
- Develop analytical workflows
- Refine analytical workflows
- Develop visualization tools
- Refine visualization tools
- Support emerging technologies
- Communicate complex findings effectively
- Present key findings to scientific audiences
- Contribute to collaborative decision-making
- Advance project goals
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- R
- UNIX
- Linux
- Home
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Computational biologist/Expert I Data Science (Junior position)(m/w/x)
Analyzing high-dimensional biological data for radioligand therapy drug discovery. Python/R proficiency and omics dataset processing expertise needed. Collaboration with biologists, chemists, and data scientists.
Requirements
- M.Sc. in bioinformatics, computer science, or related field
- Proficiency in Python or R for bioinformatics
- Experience with UNIX/Linux environments
- Expertise in processing omics datasets
- Expertise in visualizing omics datasets
- Experience with transcriptomics data
- Experience with single-cell data
- Familiarity with version control
- Familiarity with reproducible workflow practices
- Knowledge of cancer genomics advantageous
- Knowledge of proteomics advantageous
- Knowledge of immuno-oncology advantageous
- Strong communication skills
- Ability to explain complex concepts
- Fluency in English (oral and written)
Tasks
- Collaborate with biologists, chemists, and data scientists
- Support drug discovery for novel cell surface targets
- Analyze high-dimensional biological data
- Interpret NGS, spatial transcriptomics, and high-throughput screens
- Inform experimental design and target selection
- Apply bioinformatics and machine learning techniques
- Identify therapeutic targets and biomarkers for RLT
- Determine mechanisms of action relevant to RLT
- Mine and integrate diverse datasets
- Generate actionable insights from public and clinical data
- Develop analytical workflows
- Refine analytical workflows
- Develop visualization tools
- Refine visualization tools
- Support emerging technologies
- Communicate complex findings effectively
- Present key findings to scientific audiences
- Contribute to collaborative decision-making
- Advance project goals
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- R
- UNIX
- Linux
About the Company
Novartis Pharma AG
Industry
Pharmaceuticals
Description
Das Unternehmen setzt sich für Vielfalt, Chancengleichheit und Inklusion ein und fördert innovative Lösungen zur Verbesserung der Patientenversorgung.
Not a perfect match?
- Novartis Pharma AG
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