Postdoctoral Research Fellow
Core
Develop AI-powered analytics infrastructure, multi-omics data integration, and clinical decision support tools for gynecologic cancer research.
Role type
Postdoctoral Research Fellow (Health Data Science/AI)
Builds
Interactive visual dashboards, AI-assisted clinical decision support tools, and structured knowledge graphs from literature.
Domain
Gynecologic oncology, health informatics, artificial intelligence, multi-omics data
Deliverable
production ML models | dashboards & analysis | research
Required skills
Python, R, Bash scripting, workflow management (Snakemake), LLMs, text mining, knowledge graph construction, machine learning, data visualization, large document processing
Preferred skills
Federated/distributed data systems, privacy-preserving analytics, bioinformatics tools (Mutect2, Strelka, LoFreq), oncology research background, multidisciplinary collaboration
Technologies
LangChain, Hugging Face, Neo4j, Snakemake, LLMs, RAG pipelines
Responsibilities
Develop interactive dashboards for multi-omics and clinical data; Build and evaluate RAG-based LLM pipelines for literature mining; Assess and refine AI-generated outputs; Conduct co-design with clinicians and patient partners; Contribute to manuscripts and grant applications; Mentor junior trainees.
Seniority
Postdoctoral Fellow (early-career researcher)