BioSpace
Sr. Engineer - Lab Automation Software Engineer
BioSpace, San Diego, California, United States, 92189
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana, and we are looking for who are determined to make life better for people the world.
We are seeking a
Lab Automation Software Engineer
to join our biotherapeutics discovery automation team at the Lilly Biotechnology Center in San Diego. As a
Lab Automation Software Engineer , you will be part of a team building an AI-integrated, closed-loop autonomous discovery ecosystem where AI agents and robotic platforms work together seamlessly – designing experiments, executing protocols autonomously, and learning from results in real-time to accelerate discovery. Your work in developing interfaces for AI-driven automation and creating data pipelines for autonomous experimentation will directly impact the discovery of innovative medicines. Responsibilities
Develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems. Build data pipelines and visualization tools that provide real-time insights into lab operations and experimental outcomes. Implement machine learning models for visual inspection systems, predictive maintenance, and process optimization that enhance operational efficiency. Contribute to digital lab infrastructure including IoT integrations, digital lab twin models, and telemetry monitoring systems. Develop and maintain integrations across multiple automation schedulers, LIMS, and data platforms. Support robust software deployment through best DevOps practices and cloud-based solutions. Basic Qualifications
B.S. in Computer Science, Software Engineering, Bioengineering, or a related field with at least 5 years of relevant industry experience. M.S. in Computer Science, Software Engineering, Bioengineering, or a related field with at least 2 years of relevant industry experience. Additional Skills/Preferences
Experience in the pharmaceutical industry is preferred. Strong proficiency in Python, SQL, and JavaScript, with working knowledge of additional programming/scripting languages such as C#, VBA, R, C++, MATLAB, and Bash. Experience with statistical analysis tools (JMP, SAS, R) and business intelligence platforms (Tableau, Power BI, Spotfire) is preferred. Knowledge of DevOps practices, including database management systems, data warehousing, software development, cloud computing platforms (AWS, Azure), and version control tools (GitHub, GitLab) is beneficial. Exposure to lab digitalization technologies (IoT device integration, digital lab twins, automated usage and error reporting telemetry metrics) and/or autonomous lab systems is beneficial. Familiarity with lab data platforms including Benchling, LabGuru, PostgreSQL, Genedata, or similar LIMS/ELN systems is a plus. Strong problem-solving skills and ability to work cross-functionally with scientific and engineering teams. Background in life sciences, pharmaceutical research, or high-throughput screening environments is beneficial. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Actual compensation for this position is $72,000 – $189,200. Full-time employees will also be eligible for a company bonus (depending, in part, on company and individual performance) and will participate in a comprehensive benefits program that includes 401(k) eligibility, medical, dental, vision, and prescription drug benefits, as well as flexible benefits and well-being programs.
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Lab Automation Software Engineer
to join our biotherapeutics discovery automation team at the Lilly Biotechnology Center in San Diego. As a
Lab Automation Software Engineer , you will be part of a team building an AI-integrated, closed-loop autonomous discovery ecosystem where AI agents and robotic platforms work together seamlessly – designing experiments, executing protocols autonomously, and learning from results in real-time to accelerate discovery. Your work in developing interfaces for AI-driven automation and creating data pipelines for autonomous experimentation will directly impact the discovery of innovative medicines. Responsibilities
Develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems. Build data pipelines and visualization tools that provide real-time insights into lab operations and experimental outcomes. Implement machine learning models for visual inspection systems, predictive maintenance, and process optimization that enhance operational efficiency. Contribute to digital lab infrastructure including IoT integrations, digital lab twin models, and telemetry monitoring systems. Develop and maintain integrations across multiple automation schedulers, LIMS, and data platforms. Support robust software deployment through best DevOps practices and cloud-based solutions. Basic Qualifications
B.S. in Computer Science, Software Engineering, Bioengineering, or a related field with at least 5 years of relevant industry experience. M.S. in Computer Science, Software Engineering, Bioengineering, or a related field with at least 2 years of relevant industry experience. Additional Skills/Preferences
Experience in the pharmaceutical industry is preferred. Strong proficiency in Python, SQL, and JavaScript, with working knowledge of additional programming/scripting languages such as C#, VBA, R, C++, MATLAB, and Bash. Experience with statistical analysis tools (JMP, SAS, R) and business intelligence platforms (Tableau, Power BI, Spotfire) is preferred. Knowledge of DevOps practices, including database management systems, data warehousing, software development, cloud computing platforms (AWS, Azure), and version control tools (GitHub, GitLab) is beneficial. Exposure to lab digitalization technologies (IoT device integration, digital lab twins, automated usage and error reporting telemetry metrics) and/or autonomous lab systems is beneficial. Familiarity with lab data platforms including Benchling, LabGuru, PostgreSQL, Genedata, or similar LIMS/ELN systems is a plus. Strong problem-solving skills and ability to work cross-functionally with scientific and engineering teams. Background in life sciences, pharmaceutical research, or high-throughput screening environments is beneficial. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Actual compensation for this position is $72,000 – $189,200. Full-time employees will also be eligible for a company bonus (depending, in part, on company and individual performance) and will participate in a comprehensive benefits program that includes 401(k) eligibility, medical, dental, vision, and prescription drug benefits, as well as flexible benefits and well-being programs.
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