AI-Driven Lab Automation Software Architect

BioSpace; San Diego (CA); On-site; USD 141,000 - 229,000; Full time

Benefits offered by this job

Bonus potential

401(k) plan

Medical, dental, vision

Paid time off

Job summary

Lilly Biotechnology Center in San Diego seeks a Lab Automation Software Engineering Advisor to architect AI-enabled, autonomous discovery systems for biotherapeutics. You will design software that orchestrates complex automated workflows and closed-loop learning, integrating IoT and data platforms.

You will develop data pipelines, ML models, and digital lab infrastructure, collaborating with cross-functional teams to accelerate drug discovery and improve lab efficiency.

Qualifications

• Ph.D. in relevant field with 3+ years of industry experience.
• M.S. with 10+ years of experience in related areas.
• B.S. with 13+ years of experience in related areas.
• Experience in pharmaceutical/automation settings preferred.

Responsibilities

• Design and develop software that orchestrates automated lab workflows and closed-loop learning systems.
• Build data pipelines and visualization tools for real-time lab insights.
• Implement ML models for visual inspection, maintenance, and optimization.
• Create digital lab infrastructure with IoT, digital twins, telemetry.

Skills

Python

SQL

JavaScript

C#

C++

R

MATLAB

Bash

Education

Ph.D. in Computer Science / Software Engineering / Bioengineering

M.S. in Computer Science / Software Engineering / Bioengineering

B.S. in Computer Science / Software Engineering / Bioengineering

Tools

Benchling

LabGuru

PostgreSQL

Genedata

Tableau

Power BI

Spotfire

GitHub

GitLab

Job description

Lilly Biotechnology Center in San Diego seeks a Lab Automation Software Engineering Advisor to architect AI-enabled, autonomous discovery systems for biotherapeutics. You will design software that orchestrates complex automated workflows and closed-loop learning, integrating IoT and data platforms.

You will develop data pipelines, ML models, and digital lab infrastructure, collaborating with cross-functional teams to accelerate drug discovery and improve lab efficiency.