Agentic Analytics Engineer

Job Title:

Agentic Analytics Engineer (contract)
PR:

$80/hr
Location:

Hybrid onsite in South San Francisco
Hours:

9-5 PST
Start Date:

ASAP
Client Overview

As an Agentic Analytics Engineer in Synthetic Molecule Pharmaceutical Sciences (SMPS) in Genentech, you will be responsible for integrating scientific and business data from multiple sources to generate agentic analytics product. You will be connecting Large Language Models (LLMs) to enterprise tools, databases, and APIs to enable conversational data analytics, and contributing to the development of life‑saving therapeutics.
Job Description

Agent Orchestration:

Use frameworks like

LangChain ,

CrewAI , or

LangGraph

to build specialized agents
Tool Integration:

Implement the

Model Context Protocol (MCP)

to connect agents to internal systems like Microsoft Suite, Slack, or SQL databases.
Workflow Mapping:

Translate complex business processes (like "genotoxic impurity profile of a therapeutic molecule") into a series of logical steps an AI can follow.
RAG Pipeline Maintenance:

Build and optimize

Retrieval-Augmented
Generation (RAG)

systems using vector databases (e.g., Pinecone, Weaviate) to give agents access to enterprise knowledge and data.
Evaluation & Debugging:

Use "LLM-as-a-Judge" frameworks to test agent reliability, find where reasoning loops fail, and implement "Human-in-the-Loop" (HITL) approval gates.
Skill Set Requirements

Language:

Python and SQL (advanced)
Data Stack:

Modern data warehouses such as Snowflake
Frameworks:

LangChain and LangGraph
Orchestration:

Mastery of reasoning loops (ReAct, Chain-of-Thought)
Protocols:

Model Context Protocol and RESTful API integration
Nice to Haves

Basic understanding of chemistry and drug development and relevant experience in biotech or pharmaceutical companies
Education / Certifications / Licenses

Education:

B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field, with 1+ years of professional work experience
Portfolio:

Evidence of building at least one autonomous system (e.g., an agent that can successfully scrape a site, summarize findings, and email a report without human intervention).

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