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Intern - Agentic AI for Computational Biology(m/w/x)
Exploring agentic AI for cancer biology research and therapeutic strategies. Master's degree in a quantitative field with AI/ML and Python proficiency required. 6-month contract, full-time, start ASAP.
Requirements
- Pursuing master's degree in computational biology, computer science, bioinformatics, data science, or related field with life sciences interest
- Solid understanding of AI/ML concepts, LLMs, and agentic AI frameworks
- Comfortable with modern software development concepts (APIs, data integration, heterogeneous tools/data)
- Proficiency in Python; R knowledge welcome
- Familiarity with RAG, MCP, vector databases, tool-use in agentic systems, or high motivation to learn
- Basic understanding of biology or molecular life sciences for oncology context
- Enthusiastic, creative, goal-oriented, proactive, out-of-the-box thinker; independent and collaborative work ability
- Excellent English communication skills (written and spoken)
- Eagerness to share knowledge and enable others
- Valid work permit required
Tasks
- Collaborate with a dynamic team
- Explore cutting-edge agentic AI approaches
- Accelerate biological research workflows
- Advance understanding of cancer biology
- Contribute to new therapeutic strategies
- Apply automated knowledge collection
- Utilize retrieval-augmented generation (RAG)
- Work with vector databases
- Implement agentic workflows
- Support target prioritization
- Contribute to early research programs
Education
- Compulsory education
Languages
- English – Business Fluent
Tools & Technologies
- AI
- machine learning
- LLMs
- agentic AI frameworks
- APIs
- Python
- R
- RAG
- MCP
- vector databases
- tool-use in agentic systems
Benefits
Other Benefits
- Start as soon as possible
- Full-time
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Intern - Agentic AI for Computational Biology(m/w/x)
Exploring agentic AI for cancer biology research and therapeutic strategies. Master's degree in a quantitative field with AI/ML and Python proficiency required. 6-month contract, full-time, start ASAP.
Requirements
- Pursuing master's degree in computational biology, computer science, bioinformatics, data science, or related field with life sciences interest
- Solid understanding of AI/ML concepts, LLMs, and agentic AI frameworks
- Comfortable with modern software development concepts (APIs, data integration, heterogeneous tools/data)
- Proficiency in Python; R knowledge welcome
- Familiarity with RAG, MCP, vector databases, tool-use in agentic systems, or high motivation to learn
- Basic understanding of biology or molecular life sciences for oncology context
- Enthusiastic, creative, goal-oriented, proactive, out-of-the-box thinker; independent and collaborative work ability
- Excellent English communication skills (written and spoken)
- Eagerness to share knowledge and enable others
- Valid work permit required
Tasks
- Collaborate with a dynamic team
- Explore cutting-edge agentic AI approaches
- Accelerate biological research workflows
- Advance understanding of cancer biology
- Contribute to new therapeutic strategies
- Apply automated knowledge collection
- Utilize retrieval-augmented generation (RAG)
- Work with vector databases
- Implement agentic workflows
- Support target prioritization
- Contribute to early research programs
Education
- Compulsory education
Languages
- English – Business Fluent
Tools & Technologies
- AI
- machine learning
- LLMs
- agentic AI frameworks
- APIs
- Python
- R
- RAG
- MCP
- vector databases
- tool-use in agentic systems
Benefits
Other Benefits
- Start as soon as possible
- Full-time
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SUSONITY
Industry
Healthcare
Description
Das Unternehmen entwickelt Medikamente, intelligente Geräte und innovative Technologien in Therapiegebieten wie der Onkologie, Neurologie und Fruchtbarkeit.
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