POSTING: AI Data Scientist

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 therapies, including our proprietary HEATT® hyperthermia treatment technology for cancer.

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: