Postdoctoral Research Fellow
Core
Building data pipelines and AI tools for a biotechnology company to integrate and analyze complex biological and clinical data.
Role type
Postdoctoral Research Fellow (Applied AI/ML Engineer)
Builds
Data pipelines, AI analytical tools, and an AI chat interface for a biotech platform.
Domain
Biotechnology / Life Sciences / Clinical Data
Deliverable
production ML models
Required skills
Data engineering, AI/ML systems development, Python, FastAPI, PostgreSQL, LLMs, vector databases, NLP, AWS, Docker
Preferred skills
Retrieval-augmented generation (RAG) pipelines, agentic coding tools, oncology dataset experience
Technologies
Python, FastAPI, PostgreSQL, Pinecone, AWS, Docker
Responsibilities
Architect scalable data ingestion pipelines for biological and clinical data; Design AI pipeline components using LLMs; Manage storage and retrieval using vector databases; Integrate NLP workflows for unstructured text; Maintain data quality standards for AI outputs; Define data engineering practices and testing strategies; Supervise research assistants; Develop peer-reviewed manuscripts.
Seniority
Postdoctoral Researcher (Early-career IC)
