Advisor - Lab Automation Software Engineer
Eli Lilly and Company
4 hours ago
On-site
San Diego, CA
$141,000 - $228,800 USD yearly
IT
Lab Automation Software Engineering Advisor (Biotherapeutics Discovery Automation)
You Will Have The Opportunity To
- Design and 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.
- Create 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.
- Ensure robust software deployment through best DevOps practices and cloud-based solutions.
Basic Qualifications
- Ph.D. in Computer Science, Software Engineering, Bioengineering/Engineering with at least three years of industry experience.
- M.S. in Computer Science, Software Engineering, Bioengineering/Engineering with at least 10 years of experience.
- B.S. in Computer Science, Software Engineering, Bioengineering/Engineering with at least 13 years of experience.
- Relevant industry experience, preferably in a pharmaceutical company or an automation provider.
Additional Skills/Preferences
- Strong proficiency in Python, SQL, and JavaScript; working knowledge of C#, VBA, R, C++, MATLAB, and Bash.
- Experience with statistical analysis tools (JMP, SAS, R) and business intelligence platforms (Tableau, Power BI, Spotfire).
- Expertise in DevOps practices: DBMS, data warehousing, software development, AWS/Azure, and version control (GitHub, GitLab).
- Strongly preferred: lab digitalization tech (IoT integrations, digital lab twins, telemetry metrics) and autonomous lab/closed-loop learning frameworks.
- Familiarity with Benchling, LabGuru, PostgreSQL, Genedata, or similar LIMS/ELN systems.
- 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.
Compensation/Benefits (as stated)
- Anticipated wage: $141,000 - $228,800.
- Full-time equivalent employees may be eligible for a company bonus.
- Comprehensive benefits including 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance, time off/leave benefits, and well-being benefits.
Application Instructions
- If you require accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation
You Will Have The Opportunity To
- Design and 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.
- Create 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.
- Ensure robust software deployment through best DevOps practices and cloud-based solutions.
Basic Qualifications
- Ph.D. in Computer Science, Software Engineering, Bioengineering/Engineering with at least three years of industry experience.
- M.S. in Computer Science, Software Engineering, Bioengineering/Engineering with at least 10 years of experience.
- B.S. in Computer Science, Software Engineering, Bioengineering/Engineering with at least 13 years of experience.
- Relevant industry experience, preferably in a pharmaceutical company or an automation provider.
Additional Skills/Preferences
- Strong proficiency in Python, SQL, and JavaScript; working knowledge of C#, VBA, R, C++, MATLAB, and Bash.
- Experience with statistical analysis tools (JMP, SAS, R) and business intelligence platforms (Tableau, Power BI, Spotfire).
- Expertise in DevOps practices: DBMS, data warehousing, software development, AWS/Azure, and version control (GitHub, GitLab).
- Strongly preferred: lab digitalization tech (IoT integrations, digital lab twins, telemetry metrics) and autonomous lab/closed-loop learning frameworks.
- Familiarity with Benchling, LabGuru, PostgreSQL, Genedata, or similar LIMS/ELN systems.
- 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.
Compensation/Benefits (as stated)
- Anticipated wage: $141,000 - $228,800.
- Full-time equivalent employees may be eligible for a company bonus.
- Comprehensive benefits including 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance, time off/leave benefits, and well-being benefits.
Application Instructions
- If you require accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation