BioSpace
Sr. Engineer - Lab Automation Software Engineer
BioSpace, San Diego, California, United States, 92189
Sr. Engineer - Lab Automation Software Engineer (Lilly)
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 our biotherapeutics discovery automation team at the Lilly Biotechnology Center in San Diego is seeking a Software Engineer to architect and implement revolutionary software solutions that transform biotherapeutic discovery.
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 to 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/Engineering with at least 5 years of relevant industry experience.
M.S. in Computer Science, Software Engineering, Bioengineering/Engineering 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, Bash.
Experience with statistical analysis tools (JMP, SAS, R) and business intelligence platforms (Tableau, Power BI, Spotfire) is preferred.
Knowledge of DevOps practices, database management, data warehousing, cloud platforms (AWS, Azure), and version control tools (GitHub, GitLab) is beneficial.
Exposure to lab digitalization technologies (IoT device integration, digital lab twins, 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.
EEO and Accommodation Statement Lilly is dedicated to helping individuals with disabilities actively engage in the workforce, ensuring equal opportunities. 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. If you require an accommodation to submit a resume, please complete the accommodation request form at https://careers.lilly.com/us/en/workplace-accommodation.
Compensation & Benefits The anticipated wage range for this position is
$72,000 - $189,200 . Full‑time employees will also be eligible for company bonus programs and a comprehensive benefits package that includes 401(k), pension, medical, dental, vision, prescription drug, flexible spending accounts, life insurance, leave of absence, and well‑being benefits.
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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 to 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/Engineering with at least 5 years of relevant industry experience.
M.S. in Computer Science, Software Engineering, Bioengineering/Engineering 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, Bash.
Experience with statistical analysis tools (JMP, SAS, R) and business intelligence platforms (Tableau, Power BI, Spotfire) is preferred.
Knowledge of DevOps practices, database management, data warehousing, cloud platforms (AWS, Azure), and version control tools (GitHub, GitLab) is beneficial.
Exposure to lab digitalization technologies (IoT device integration, digital lab twins, 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.
EEO and Accommodation Statement Lilly is dedicated to helping individuals with disabilities actively engage in the workforce, ensuring equal opportunities. 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. If you require an accommodation to submit a resume, please complete the accommodation request form at https://careers.lilly.com/us/en/workplace-accommodation.
Compensation & Benefits The anticipated wage range for this position is
$72,000 - $189,200 . Full‑time employees will also be eligible for company bonus programs and a comprehensive benefits package that includes 401(k), pension, medical, dental, vision, prescription drug, flexible spending accounts, life insurance, leave of absence, and well‑being benefits.
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