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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CMC AI/ML and Automation Scientist - **Company:** LILLIES ON PIGS ALLEY LLC - **Location:** Indianapolis, IN, United States - **Experience:** Experienced - **Salary:** $129,000.0 - $209,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Databases, Data Visualization, Decision Support Systems, Python (Programming Language), LabVIEW, Machine Learning, Open Source Technology, Power BI, Tensorflow, Systems Integration, Workflow Management Systems, Data Processing, Scripting, Large Language Models, Information Technology, Data Management, Virtual Agents, Data Pipelines - **Published:** September 26, 2026 - **Apply:** https://www.dice.com/job-detail/9eba0258-9042-4a69-96f3-262e0e9976eb ## About the Role 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. Candidates must demonstrate a history of strong technical depth, a broad base of modeling and information technology skills, scientific leadership, and a willingness to promote a collaborative, team-based approach to problem solving. Experience applying AI/ML within at least one CMC discipline - such as chemistry, formulation, engineering, or analytical sciences - is preferred.. Additionally, the AI/ML Scientist will contribute to the advancement of new capabilities by utilizing large language models (LLMs) to improve traditional data science workflows and use AI approaches and automation to enable the development of autonomous process and product development laboratories. Specifically, the candidate will have experience in the following areas: Experience in working with different data types and source systems as well as interfacing databases to enable extracting relevant data to address business questions. Experience in statistics/artificial intelligence/machine learning techniques to be able to use the right tool for the right question. Experience utilizing large language models (LLM) to complement and enhance traditional data science workflows. Strong mathematical and coding background with ability to quickly test and screen AI approaches for a problem. Ability to merge strong technical depth with technologies in big data to stimulate new hypotheses, workplans, and solutions. Ability to communicate the results of analysis in an effective manner to stakeholders to drive action., * Ph. D. in Chemical Engineering, Chemistry, Formulation, Analytical Sciences, or related field OR MS in Chemical Engineering, Chemistry, Formulation, Analytical Sciences, or related field with 5+ years' experience * Experience in programming in scripting languages such as Python and learning agility to pick up new languages and tools as needed * Familiarity with AI frameworks and tools (e.g. TensorFlow, pyTorch) * Experience in working with varied data types (structured and unstructured) and databases * At least 3 years experience in applying data science/AI techniques either in research or industry * Experience applying LLMs 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 domain areas: * Unit operation design, process modeling, process equipment selection, data rich experiments, PAT utilization in the laboratory and production facilities, or scale-up methodologies * Organic chemistry, chemical synthesis, and route design * Drug product formulation platforms * Online and offline analytical techniques and process analytical technologies (PAT) * Experience working with lab or process automation systems such as DeltaV, Labview or other open source systems * Familiarity with automated lab reactors/equipment ## Description * 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, 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Traction to Production: Maturing your LLMOps step by step](https://www.wearedevelopers.com/videos/1250-from-traction-to-production-maturing-your-llmops-step-by-step) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)