BioSpace
Advisor - Lab Automation Software Engineer
BioSpace, San Diego, California, United States, 92189
Advisor - Lab Automation Software Engineer
We are seeking a Lab Automation Software Engineering Advisor to join our biotherapeutics discovery automation team at the Lilly Biotechnology Center in San Diego, where you'll architect and implement revolutionary software solutions that transform how we discover life‑saving biotherapeutics. As a Lab Automation Software Engineering Advisor, you’ll be at the forefront of designing and building an AI‑integrated, closed‑loop autonomous discovery ecosystem whereby intelligent systems propose hypotheses, execute experiments through advanced robotics, analyze results instantly, and iteratively refine and design the next set of experiments – all with minimal human intervention.
Role Overview
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.
Experience should include relevant industry experience, preferably in a pharmaceutical company or an automation provider.
Additional Skills / Preferences
Strong proficiency in Python, SQL, and JavaScript, with working knowledge of programming/scripting in 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 best DevOps practices, including database management systems (DBMS), data warehousing, software development, cloud computing platforms (AWS, Azure), and version control tools (GitHub, GitLab).
Experience with lab digitalization technologies (IoT device integration, digital lab twins, automated usage and error reporting telemetry metrics) as well as autonomous lab systems and closed‑loop learning frameworks is strongly preferred.
Familiarity with lab data platforms including 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.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $141,000 - $228,800. Full‑time equivalent employees will also be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company‑sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well‑being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).
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. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce; if you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form.
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Role Overview
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.
Experience should include relevant industry experience, preferably in a pharmaceutical company or an automation provider.
Additional Skills / Preferences
Strong proficiency in Python, SQL, and JavaScript, with working knowledge of programming/scripting in 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 best DevOps practices, including database management systems (DBMS), data warehousing, software development, cloud computing platforms (AWS, Azure), and version control tools (GitHub, GitLab).
Experience with lab digitalization technologies (IoT device integration, digital lab twins, automated usage and error reporting telemetry metrics) as well as autonomous lab systems and closed‑loop learning frameworks is strongly preferred.
Familiarity with lab data platforms including 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.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $141,000 - $228,800. Full‑time equivalent employees will also be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company‑sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well‑being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).
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. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce; if you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form.
#WeAreLilly
#J-18808-Ljbffr