Associate Director, Generative AI Engineer

Madrigal Pharmaceuticals•Conshohocken, PA

29d

About The Position

Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH. Madrigal’s medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR-β agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c). Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way. Associate Director, Generative AI Engineer About Madrigal: Madrigal is a biopharmaceutical company pursuing novel therapeutics for non-alcoholic steatohepatitis (NASH), also known as metabolic dysfunction associated steatohepatitis (MASH). Our first therapy, Rezdiffra (resmetirom), was granted accelerated approval by the U.S. Food and Drug Administration (FDA) for the treatment of adults with NASH with moderate to advanced liver fibrosis (consistent with stages F2 to F3 fibrosis) and is being studied in a Phase 3 trial for the treatment of NASH with compensated cirrhosis. As Associate Director ,Generative AI Engineer at Madrigal Pharmaceuticals, you will be at the forefront of integrating advanced AI technologies to drive innovation within the pharmaceutical industry. You will create business-facing experiences that highlight the value LLMs can bring to HR, Finance, IT, Legal, and Compliance operations, and lead the development and implementation of our Generative AI roadmap with your team for enterprise support functions.

Requirements

Advanced degree (Ph.D. preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or a related quantitative field
10+ years of proficiency in Python, SQL, R, MATLAB, PyTorch, Keras, and git
8+ years of experience in ML/deep learning, including hands-on experience with LLM fine-tuning and/or training (e.g., ChatGPT, BERT, Bard, LLaMA, Dolly)
8+ years of experience in data visualization and creating dashboards/web applications using Python and R-based tools (Dash, Streamlit, Shiny)
8+ years of experience in data manipulation, integration, writing complex queries, and creating data products
8+ years of implementing AI/ML systems using platforms like Databricks or Dataiku
2+ years of experience architecting modular multi-agent systems powered by frontier LLMs and leading agent frameworks (LangChain family, AutoGen, CrewAI, etc.), designing secure agent-to-agent (A2A) communication with shared memory, credential vaults, and RBAC, and implementing enterprise MCP tools and Agent Protocols
Strong understanding of cloud-based data platforms and technologies (e.g., AWS, Azure, Google Cloud) and their application in building scalable and efficient analytics solutions
Proven ability to build and lead cross-functional teams, set clear priorities, and foster accountability and collaboration to drive organizational success.
Skilled in leading teams through change, fostering adaptability, and cultivating a culture of continuous improvement and innovation.
Proven experience in machine learning and software engineering best practices
Demonstrated ability in writing and presenting papers, documentation, and presentations to explain research findings

Responsibilities

Develop and oversee the Generative AI roadmap in collaboration with senior leadership, ensuring alignment with organizational priorities.
Identify critical business problems that can be solved using Generative AI
Define and implement strategies for leveraging Generative AI within the organization
Lead discussions in peer reviews and use quantitative skills to influence decision-making positively
Lead and manage a team of AI engineers, data scientists, and developers, providing mentorship, coaching, and career development support.
Establish processes for hiring, onboarding, and performance management of AI talent.
Ensure the appropriate level of LLM complexity for various use cases (e.g., Dolly vs. GPT-4)
Create technical standards and blueprints for Generative AI scenarios
Lead prompt engineering efforts to optimize LLM performance
Quickly prototype and test LLM scenarios to refine user experiences
Strong theoretical background and extensive experience in machine/deep learning, generative AI, and statistical modeling
Spearhead fine-tuning of LLMs and building RAG (Retrieval-Augmented Generation) systems
Develop and embed automated processes for predictive model validation, deployment, and implementation
Influence the AI/ML stack, including Feature Stores, Model Stores, and automated MLOps, to maximize the value of LLMs
Make impactful contributions to internal discussions on emerging machine learning methodologies
Work with cross-functional teams, including data scientists, data engineers, and research scientists, to deliver features iteratively
Lead internal and external developers to execute the Generative AI roadmap
Connect and collaborate with subject matter experts across different business areas
Educate technical and business leaders on the use of Generative AI
Demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to quickly cycle hypotheses through the discovery phase of projects
Report findings clearly and structurally through excellent written and communication skills
Stay updated with the latest advancements in Large Language Models (LLMs) and apply them to business scenarios

Benefits

All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create.
By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.
Full-time employees are also eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans.
We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings.
In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family.
The company also provides other benefits in accordance with applicable federal, state, and local laws.

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