Advisor – Software Engineering, Evidence Intelligence

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $144k - $231k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eli Lilly and Company

WebsiteLinkedInAll Job Openings

10,000+ employees

💊 Pharmaceuticals

🏥 Healthcare

🧬 Biotechnology

💰 $6.5M Post-IPO Debt - Eli Lilly on 2024-02

Pharmaceuticals • Healthcare • Biotechnology

Eli Lilly and Company is a multinational pharmaceutical company that researches, develops, manufactures, and markets prescription medicines across multiple therapeutic areas including diabetes, oncology, immunology, neuroscience, and pain. Headquartered in Indianapolis, Indiana, Lilly is known for its extensive R&D, clinical development, and global commercialization of biologic and small-molecule drugs. The company focuses on drug discovery, clinical trials, regulatory approvals, and large-scale pharmaceutical manufacturing and distribution.

📋 Description

• Build and maintain ingestion pipelines that parse Lilly clinical evidence into structured formats for large language model retrieval • Design, build and maintain the API and storage layer that stores Lilly clinical evidence and serves it through pre-defined structured requests • Configure and maintain server and tool-call integrations connecting the infrastructure to partner AI platforms • Implement authentication, per-partner access controls, and audit logging across delivery surfaces • Monitor pipeline and platform health • Resolve data integrity, latency, or availability issues affecting the evidence feed to AI platforms • Collaborate with scientists, researchers, and business stakeholders

🎯 Requirements

• Bachelor's degree in computer science, software engineering, or a related technical field • 5 years of professional software engineering experience • 3 years building and operating cloud-based data infrastructure • Experience building tool-calling or connector integrations between backend infrastructure and LLM platforms, such as Model Context Protocol servers, function calling, or plugin frameworks • Proficiency in programming languages such Python and SQL • Hands-on experience building and maintaining data pipelines, including ingestion, transformation, and structured output • Experience designing and building APIs (REST or equivalent) that serve structured data at scale • Hands-on experience implementing a Model Context Protocol server • Experience implementing retrieval-augmented generation (RAG) pipelines or working within LLM-adjacent technical frameworks • Experience with JavaScript or TypeScript and modern web frameworks • Experience working in life sciences or another regulated industry, including hands-on work with healthcare or clinical data structures, regulatory submissions, or trial datasets

🏖️ Benefits

• Company bonus depending, in part, on company and individual performance • Company-sponsored 401(k) • Pension • Vacation benefits • Medical, dental, vision and prescription drug benefits • Flexible benefits, including healthcare and/or dependent day care flexible spending accounts • Life insurance and death benefits • Time off and leave of absence benefits • Well-being benefits, including employee assistance program, fitness benefits, and employee clubs and activities