CMC AI/ML and Automation Scientist

The CMC AI/ML and Automation scientist will collaborate closely with scientists in the Product R&D organization to derive value-added insights from data to answer technical and business questions. Key Responsibilities Work with scientists across Product R&D to identify and solve problems that can be effectively addressed using a combination of AI/ML and fundamental engineering/science principles. Build decision support tools, templates, and dashboards for high-frequency decisions that can leverage data science approaches. Seek out opportunities to apply advances in large language models (LLM) and evolving AI tools/methodologies to accelerate development workflows. Contribute to capability development efforts to use AI-driven methodologies to autonomously design, plan screening, and data-rich experiments. Develop lab automation protocols to execute closed-loop hybrid (experimental and compute) workflows. Stay current with advancements in AI applications in CMC development. Minimum Qualifications Ph.D. in Chemical Engineering, Chemistry, Formulation, Analytical Sciences, or related field OR M.S. in the same fields with 5+ years’ experience. Experience programming in scripting languages such as Python and ability to learn new languages/tools as needed. Familiarity with AI frameworks and tools (e.g., TensorFlow, PyTorch). Experience working with varied data types (structured and unstructured) and databases. At least 3 years of experience in applying data science/AI techniques either in research or industry. Experience applying large language models (LLM) either in research or industry. Willingness to work with lab scientists to develop automation solutions. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to convey technical concepts to non-experts and collaborate effectively with diverse teams. Additional Skills/Preferences Familiarity with big data technologies (such as Azure/AWS). Familiarity with Agentic AI/AI workflow orchestration. Familiarity with Microsoft 365 and data platforms (e.g., PowerBI, Fabric) for building AI-augmented workflows and reporting solutions. Experience integrating and visualizing data from diverse sources, including leveraging LLM-powered tools to accelerate insight generation and reduce manual data wrangling. Familiarity with data models, ontologies, and controlled vocabularies; experience with CMC specific data models and ontologies is a plus. Experience building and managing structured scientific workflows. Familiarity in one or more of the following domain areas: Unit operation design Process modeling Process equipment selection Data-rich experiments PAT utilization in laboratory and production facilities Scale-up methodologies Organic chemistry, chemical synthesis, and route design Drug product formulation platforms Online and offline analytical techniques and PAT Lab or process automation systems such as DeltaV, Labview or other open source systems Automated lab reactors/equipment Travel & Location Travel: 0-5% Location: Indianapolis, IN, USA Compensation & Benefits Actual compensation will depend on education, experience, skills, and geographic location. The anticipated wage for this position is $129,000 – $209,000. Full-time employees will also be eligible for a company bonus (depending, in part, on company and individual performance). Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; medical, dental, vision, and prescription drug benefits; flexible benefits such as healthcare and dependent day care flexible spending accounts; life insurance and death benefits; 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. #J-18808-Ljbffr Eli Lilly and Company