Autonomous AI Research Agent - 17/02/2026 08:16 EST
Budget: $250 – $750 USD
Autonomous AI agent
I want help creating a self-directed AI agent that can tackle biological/medical research research by reviewing the literature and creating mathematical models of disease pathology using the R programming language.
• Perform comprehensive literature reviews by ingesting and summarising peer-reviewed papers from major scientific journals and pre-print servers.
• Analyse data pulled from public repositories
• Reproducing models in the literature and coming up with new hypotheses for mathematical models of disease.
I expect an end-to-end workflow: automated retrieval of journal articles and database records, semantic search across that corpus, data cleaning, exploratory and confirmatory analysis in R/mrgsolve, and an LLM-driven (Claude) reasoning layer for hypothesis formulation.
Deliverables
1. Source code with clear modular structure and comments.
2. A short README explaining setup, required R libraries, and how to add new data sources.
3. Demo in English
4. Brief report describing model choice, evaluation metrics, and future extension points.
I’ll consider the project complete once the demo runs on my machine, replicates the steps above, and the code passes a quick peer review for clarity and reproducibility.
I want help creating a self-directed AI agent that can tackle biological/medical research research by reviewing the literature and creating mathematical models of disease pathology using the R programming language.
• Perform comprehensive literature reviews by ingesting and summarising peer-reviewed papers from major scientific journals and pre-print servers.
• Analyse data pulled from public repositories
• Reproducing models in the literature and coming up with new hypotheses for mathematical models of disease.
I expect an end-to-end workflow: automated retrieval of journal articles and database records, semantic search across that corpus, data cleaning, exploratory and confirmatory analysis in R/mrgsolve, and an LLM-driven (Claude) reasoning layer for hypothesis formulation.
Deliverables
1. Source code with clear modular structure and comments.
2. A short README explaining setup, required R libraries, and how to add new data sources.
3. Demo in English
4. Brief report describing model choice, evaluation metrics, and future extension points.
I’ll consider the project complete once the demo runs on my machine, replicates the steps above, and the code passes a quick peer review for clarity and reproducibility.