Job Description

About Us   Ayass BioScience is at the forefront of integrating artificial intelligence with advanced molecular analysis to revolutionize precision medicine. Our cutting-edge F420 platform combines AI-driven insights with innovative therapeutic approaches.

Position Overview We are seeking an innovative AI Data Scientist to develop and implement both generative and agentic AI systems for complex data analysis workflows. The ideal candidate will have strong expertise in both approaches and the ability to create powerful hybrid solutions that transform our approach to data analysis and precision medicine.

Key Responsibilities

• Design and implement both generative AI models and agentic AI architectures for data analysis
• Develop hybrid systems that leverage the strengths of both generative and agentic approaches
• Create generative models for pattern recognition and content generation from complex datasets
• Build autonomous agents capable of planning, executing, and refining multi-step analysis workflows
• Implement workflow automation with feedback loops for continuous improvement
• Design knowledge integration systems that can incorporate new findings from databases and literature
• Create intuitive interfaces between AI systems and human experts
• Collaborate with our multidisciplinary team to implement AI insights into practical applications

Requirements

• MS or PhD in Data Science, Computer Science, AI, or related field
• Strong programming skills in Python and experience with modern AI development frameworks
• Proven expertise in both generative AI and agentic AI system design and implementation
• Experience working with large language models and foundation models
• Knowledge of AI orchestration frameworks (LangChain, AutoGPT, or similar)
• Strong analytical skills and attention to detail
• Excellent communication skills and ability to explain complex AI concepts

Preferred Qualifications

• Experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face
• Background in developing multimodal AI solutions
• Knowledge of graph neural networks and their applications
• Experience with integrating various AI components into cohesive systems
• Familiarity with database systems for storing and querying large datasets
• Understanding of cloud computing platforms (AWS, Azure, GCP)
• Knowledge of bioinformatics and experience working with biological data is a plus
• Familiarity with transcriptomic data analysis would be advantageous but not required

What We Offer

• Opportunity to work on groundbreaking AI technology that directly impacts patient care
• Collaborative environment with leading scientists and AI researchers
• State-of-the-art computational resources
• Competitive salary and comprehensive benefits package
• Professional development opportunities and continuing education support

Contact Us

Interested to learn more and to schedule an initial Zoom call, Please send us your Resumé CV to:

[email protected]

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