About the role
AI summarisedWe are seeking a highly motivated Computational Scientist to develop agentic AI frameworks and intelligent chatbots for multi-omics data integration and metabolic disease research at BII. The role involves collaborating with computational scientists, experimental biologists, and clinicians to uncover mechanisms, biomarkers, and therapeutic targets in metabolic diseases such as MASLD/MASH and obesity.
ResearchFull-timeBioinformatics Institute
Key Responsibilities
- Develop and implement AI/ML and agentic AI systems to analyze and integrate experimental/multi-omics and clinical datasets related to metabolic diseases.
- Leverage agentic AI for automated hypothesis generation, exploratory data analysis, and prioritization of candidate mechanisms, biomarkers, and therapeutic targets.
- Design and deploy conversational AI chatbots and knowledge assistants to enable intuitive access to complex datasets and analytical workflows.
- Collaborate with biologists and clinicians to refine AI-driven hypotheses into testable biological studies and validations.
- Build scalable data pipelines for preprocessing, harmonization, and integration of heterogeneous omics and clinical data.
- Apply and innovate computational methodologies to uncover disease mechanisms.
- Drive therapeutic target identification, therapeutic strategies development, and patient stratification using machine learning and AI-driven inference.
- Build databases and interactive dashboards integrating multi-dimensional omics and clinical data with AI insights.
- Build a resource of public datasets and knowledgebase for metabolic diseases to be integrated with in-house proprietary data.
- Stay up to date with emerging computational and agentic AI technologies relevant to systems biology, biomedical informatics, and translational medicine.
- Collaborate with Industry partners and start-ups to accelerate agentic AI technologies development.
- Contribute to high-impact scientific publications, grant proposals, and patent filings.
Requirements
- Expertise in artificial intelligence, multi-omics data integration, and metabolic disease biology.
- Experience with agentic AI frameworks and intelligent chatbots.
- Ability to integrate high-dimensional datasets (genomics, transcriptomics, proteomics, imaging, drug screening) with clinical data.
- Strong computational and programming skills.
- Experience in building scalable data pipelines and databases.
- Knowledge of machine learning and AI-driven inference for therapeutic target identification and patient stratification.
- Excellent collaboration and communication skills to work with biologists and clinicians.
- Track record of high-impact scientific publications, grant proposals, or patent filings.
- PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, or related field.
- Experience in metabolic disease research (MASLD/MASH, obesity) is preferred.