Advisor - Lab Automation Software Engineer
Eli Lilly and Company - San Diego, CA
Hiring: Advisor - Lab Automation Software Engineer Company: Eli Lilly and Company Location: San Diego, CA Job Posted Time: 2026-09-15 10:24:03 Employment Type: Full-time Target Skills & Keywords : AWS, Azure, Bash, C#, C++, Data Pipeline, GitHub, GitLab, JavaScript, MATLAB, Machine Learning, PostgreSQL, Python, R, SQL About the job Experience: •10 years of experience. •13 years of experience. •At least 10 years of experience. •At least 13 years of experience. Required Skills: •Have The Opportunity To Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems. 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. •Strong proficiency in Python, SQL, and JavaScript, with working knowledge of programing/scripting in C#, VBA, R, C++, MATLAB, and Bash. •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). •Operational 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. •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. Compensation: •$141,000 - $228,800 / year •Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!