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 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 ResponsibilitiesDesign and implement both generative AI models and agentic AI architectures for data analysisDevelop hybrid systems that leverage the strengths of both generative and agentic approachesCreate generative models for pattern recognition and content generation from complex datasetsBuild autonomous agents capable of planning, executing, and refining multi-step analysis workflowsImplement workflow automation with feedback loops for continuous improvementDesign knowledge integration systems that can incorporate new findings from databases and literatureCreate intuitive interfaces between AI systems and human expertsCollaborate with our multidisciplinary team to implement AI insights into practical applications RequirementsMS or PhD in Data Science, Computer Science, AI, or related fieldStrong programming skills in Python and experience with modern AI development frameworksProven expertise in both generative AI and agentic AI system design and implementationExperience working with large language models and foundation modelsKnowledge of AI orchestration frameworks (LangChain, AutoGPT, or similar)Strong analytical skills and attention to detailExcellent communication skills and ability to explain complex AI concepts Preferred QualificationsExperience with AI frameworks like TensorFlow, PyTorch, or Hugging FaceBackground in developing multimodal AI solutionsKnowledge of graph neural networks and their applicationsExperience with integrating various AI components into cohesive systemsFamiliarity with database systems for storing and querying large datasetsUnderstanding of cloud computing platforms (AWS, Azure, GCP)Knowledge of bioinformatics and experience working with biological data is a plusFamiliarity with transcriptomic data analysis would be advantageous but not required What We OfferOpportunity to work on groundbreaking AI technology that directly impacts patient careCollaborative environment with leading scientists and AI researchersState-of-the-art computational resourcesCompetitive salary and comprehensive benefits packageProfessional 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: