Advisor - Lab Automation Software Engineer

Lab Automation Software Engineering Advisor 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 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. In your role, you’ll harness the latest breakthroughs in AI, machine learning, and laboratory digitalization to build software that makes our biotherapeutics discovery automation lab smarter, faster, and more innovative than ever before. Key Responsibilities 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 ten years of experience. B.S. in Computer Science, Software Engineering, Bioengineering/Engineering with at least thirteen 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. Compensation 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 also will 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 daycare 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 reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. EEO Statement 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. #J-18808-Ljbffr Dormont Manufacturing Co