Medasource

Agentic Analytics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Agentic Analytics Engineer" with a 12-month contract, paying $80/hr, hybrid in South San Francisco. Key skills include advanced Python, SQL, and experience with LangChain, RAG systems, and modern data warehouses. A degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
June 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#Data Science #Data Warehouse #Python #API (Application Programming Interface) #Debugging #Langchain #Computer Science #Snowflake #SQL (Structured Query Language) #Databases #AI (Artificial Intelligence) #React
Role description
Job Title: Agentic Analytics Engineer (contract) PR: $80/hr Contract Length: 12 months 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: • Experience in web application development • Basic understanding of chemistry and drug development and relevant experience in biotech or pharmaceutical companies Education/Certification(s)/License(s): • 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).