Sr. Engineer - Lab Automation Software Engineer

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. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism.

We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

We are seeking a
** Lab Automation Software Engineer
** 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 Engineer**, you'll be part of a team building an AI-integrated, closed-loop autonomous discovery ecosystem where AI agents and robotic platforms work together seamlessly - designing experiments, executing protocols autonomously, and learning from results in real-time to accelerate discovery. In this role, you'll work with the latest technologies in artificial intelligence, and laboratory digitalization to build software that bridges the digital and physical automation worlds.

Your work in developing interfaces for AI-driven automation and creating data pipelines for autonomous experimentation will directly impact the discovery of innovative medicines.

If you're excited about harnessing AI and automation to solve real-world problems in drug discovery and want to be part of building the lab of the future, we want to hear from you.
** You will have the opportunity to:
*** 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.
* 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 Dev Ops 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.
* * Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.
*** Additional Skills/Preferences**:
* ** Experience in the pharmaceutical industry would be preferred.
*** Strong proficiency in Python, SQL, and JavaScript, with working knowledge of some additional programing/scripting languages such 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 Dev Ops practices, including database management systems (DBMS), data warehousing, software development, cloud computing platforms (AWS, Azure), and version control tools (Git Hub, Git Lab) are beneficial.
* Exposure to lab digitalization technologies (IoT device integration, digital lab twins, automated usage and error reporting telemetry metrics) and/or autonomous lab systems is beneficial.
* Familiarity with lab data platforms including Benchling, Lab Guru, Postgre

SQL, 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.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form () for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

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.

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