LLM Engineer - Transcriptome Analysis Platform

Job Description

We are seeking an innovative LLM Engineer to develop and optimize large language model systems for our cutting-edge transcriptome differential expression gene (DEG) analysis platform. This role is critical in building the reasoning foundation that will transform biological data analysis from statistical correlation to mechanistic understanding. You will work at the intersection of advanced AI and precision medicine, creating systems that can reason about complex biological relationships and generate actionable insights from petabytes of genomic data.

Key Responsibilities

Core LLM Development

• Design and implement specialized LLM architectures for biological reasoning and causal inference
• Fine-tune foundation models (GPT-4, Claude, Gemma, etc.) for domain-specific transcriptome analysis tasks
• Develop custom prompting strategies that enable complex reasoning about gene regulatory networks
• Create RAG (Retrieval-Augmented Generation) pipelines integrating scientific literature with experimental data
• Implement chain-of-thought (CoT) and tree-of-thoughts (ToT) prompting for multi-step biological reasoning

Model Optimization & Scaling

Biological Domain Integration

Quality & Reliability

Required Qualifications

Technical Expertise

Domain Knowledge

Production Experience

Preferred Qualifications

Key Performance Metrics

90% on benchmark datasets

What We Offer

Integration with Team

You will work closely with :