Dein persönlicher KI-Karriere-Agent
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 cross-functional teams, informing experimental design.
Anforderungen
- M.Sc. in bioinformatics, computer science, or related field
- Proficiency in Python or R for bioinformatics applications
- Experience with UNIX/Linux environments
- Expertise in processing multidimensional omics datasets
- Expertise in visualizing multidimensional omics datasets
- Expertise in transcriptomics data
- Expertise in 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)
Aufgaben
- Collaborate with cross-functional teams on drug discovery
- 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
- Communicate complex findings effectively
- Present key findings to scientific audiences
- Contribute to collaborative decision-making
- Advance project goals
Berufserfahrung
- 2 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- 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 cross-functional teams, informing experimental design.
Anforderungen
- M.Sc. in bioinformatics, computer science, or related field
- Proficiency in Python or R for bioinformatics applications
- Experience with UNIX/Linux environments
- Expertise in processing multidimensional omics datasets
- Expertise in visualizing multidimensional omics datasets
- Expertise in transcriptomics data
- Expertise in 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)
Aufgaben
- Collaborate with cross-functional teams on drug discovery
- 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
- Communicate complex findings effectively
- Present key findings to scientific audiences
- Contribute to collaborative decision-making
- Advance project goals
Berufserfahrung
- 2 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- R
- UNIX
- Linux
Über das Unternehmen
Novartis Pharma AG
Branche
Pharmaceuticals
Beschreibung
The company is committed to integrating AI-powered tools into drug discovery to enhance data-driven solutions.
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- Novartis Pharma AG
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