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.
Madrigal Pharmaceuticals is advancing transformational therapies with scientific rigor and a commitment to patients. Within Medical Affairs, we turn scientific evidence — publications, real-world evidence (RWE), HEOR, and field-medical insight — into decisions that advance patient care, and we operate a growing AI platform with multiple production agents supporting that work. We are seeking a Senior Manager, AI and Data Science who brings strong technical depth, hands-on experience with agentic AI, and an ownership mindset. This individual will own modular, high-impact workstreams end-to-end, from design through production — combining agentic AI and large language model (LLM) engineering with applied machine learning on real-world evidence — working alongside the platform’s architect and Medical Affairs stakeholders.
We welcome candidates from a range of scientific, medical, and engineering backgrounds. What unites strong applicants is rigor and an evidence-driven approach to building and evaluating AI systems, an ownership mindset, and the ability to collaborate across scientific, technical, and business teams. The ideal candidate is comfortable owning ambiguous problems end-to-end.
Key Responsibilities
Agentic AI Systems
Build and operate production AI agents and orchestration workflows using modern agentic frameworks such as LangGraph and deepagents.
Design modular, reusable components for reasoning, retrieval, tool integration (including MCP), and workflow automation.
Partner with the Agentic UI team to deliver seamless, end-to-end products.
Retrieval, RAG & Evaluation
Own and optimize the retrieval stack, including vector and hybrid search, embeddings, chunking, and reranking.
Build evaluation and regression safeguards for LLM outputs, with particular attention to citation faithfulness and groundedness, which are essential in Medical Affairs.
Applied Machine Learning on Real-World Evidence
Design and deploy machine learning on real-world evidence (claims, EHR, registry), HEOR, and field-medical data to surface Medical Affairs insights.
Apply embeddings, predictive models, and statistical methods where they are the right fit for the problem.
Data Integration & MLOps
Automate and scale data-ingestion pipelines into AI/ML-ready data on platforms such as Databricks
Own deployment, monitoring, and observability (for example, using LangSmith) for the systems you ship.
Cross-Functional Engagement & Governance
Translate complex AI concepts into clear, actionable insights for technical and non-technical Medical Affairs partners.
Align AI initiatives with enterprise governance, privacy, and PHI and compliance expectations.
Qualifications
Required
A demonstrated record of scientific rigor: either a Ph.D. in a quantitative or medical-adjacent field with first-author publications, or a strong engineering background paired with peer-reviewed research at top venues (for example, NeurIPS, ICML, ICLR, or ML4H). The specific credential matters less than the demonstrated rigor and record of shipping.
7+ years of applied machine learning or data science, including 3+ years shipping ML or AI systems to production.
1+ year of hands-on agentic AI development using modern frameworks (for example, LangGraph, deepagents, or LangSmith).
Strong RAG and retrieval engineering, including vector and hybrid search, embeddings, and reranking, with the ability to evaluate groundedness and citation accuracy.
Applied ML on real-world or patient-level data (claims, EHR, registry), including feature engineering.
Experience with production reliability, data access and authentication, and handling sensitive (PHI) data.
Strong communication skills and the ability to collaborate across scientific, technical, and business teams.
Experience in Healthcare or Life Sciences.
Preferred
Production experience with deepagents, LangGraph, and LangSmith; MCP tools; Azure; and Databricks Unity Catalog, Microsoft Fabric, or OneLake.
Proven track record of deploying agents to production at scale, including LLM evaluation and observability.
Background in real-world evidence, epidemiology, or HEOR analytics.
Medical Affairs experience.
Madrigal’s Total Rewards strategy is based on a biotech industry peer group comparator and is inclusive of base pay, bonus and equity. Our equity offers meaningful opportunity allowing 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.
All employees receive equity, which we believe reinforces our ownership culture. Base salary is determined by several factors including the candidate’s qualifications, skills, education, experience, business needs and market demands. As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $163,000 - $200,000 per year. We comply with all applicable minimum wage laws.
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.
We are committed to providing reasonable accommodations for individuals with disabilities throughout the hiring process. If you need assistance, please contact [email protected].
Madrigal is an Equal Opportunity Employer. All employment is decided on the basis of qualifications, merit, and business need. Applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex gender identity, sexual orientation, national origin, age, disability, protected veteran or disabled status, or other characteristic protected by applicable federal, state, or local law.
Unsolicited resumes from agencies should not be forwarded to Madrigal. Madrigal will not be responsible for any fees arising from the use of resumes through this source. Madrigal will only pay a fee to agencies if a formal agreement between Madrigal and the agency has been established.
Applications are being accepted on an ongoing basis and can be submitted through our Madrigal Careers site.
Please be aware that we have received reports of individuals misrepresenting themselves as Madrigal Pharmaceuticals’ Hiring Managers, seeking to engage with job candidates through fraudulent online advertisements or job posting sites. These unauthorized individuals are using Madrigal’s name and logo in an attempt to solicit up-front fees and obtain personal information from interested job candidates. Please know that Madrigal does not conduct interviews via text or in chat rooms; conduct interviews via Skype, RingCentral or solely via telephone; charge candidates an advance fee of any kind (e.g., fees for purchasing equipment); nor does it offer positions of employment without undergoing a thorough recruiting process.
Please also note that any correspondence with regard to employment would come from an authorized madrigalpharma.com email address or from an email address from one of our trusted search firm partners. We are aware that incorrect/fraudulent email addresses, with Madrigal misspelled, have been utilized in these most recent fraud attempts. If you receive unsolicited employment offers from people claiming to work for or on behalf of Madrigal, we recommend that you: do not respond to their questions; do not open any attachments; and do not click on any hyperlinks. Any questions regarding the legitimacy of job-related contacts can be directed to [email protected].
Skills Required
- Ph.D. in a quantitative or medical-adjacent field with first-author publications, or equivalent engineering background with peer-reviewed research
- 7+ years applied machine learning or data science, including 3+ years shipping ML/AI systems to production
- 1+ year hands-on agentic AI development using modern frameworks (e.g., LangGraph, deepagents, LangSmith)
- Strong RAG and retrieval engineering experience including vector and hybrid search, embeddings, chunking, and reranking
- Applied ML experience on real-world or patient-level data (claims, EHR, registry), including feature engineering
- Experience with production reliability, data access/authentication, and handling sensitive PHI data
- Strong communication skills and ability to collaborate across scientific, technical, and business teams
- Experience in Healthcare or Life Sciences
- Production experience with deepagents, LangGraph, LangSmith, MCP tools, Azure, Databricks Unity Catalog, Microsoft Fabric, or OneLake
- Proven track record deploying agents to production at scale, including LLM evaluation and observability
- Background in real-world evidence, epidemiology, or HEOR analytics
- Medical Affairs experience
What We Do
Madrigal Pharmaceuticals, Inc. (Nasdaq: MDGL) is a clinical-stage biopharmaceutical company pursuing novel therapeutics for non-alcoholic steatohepatitis (NASH), a liver disease with high unmet medical need. Madrigal’s lead candidate, resmetirom, is a once daily, oral, thyroid hormone receptor (THR)-β selective agonist that is designed to target key underlying causes of NASH in the liver. Resmetirom is currently being evaluated in two Phase 3 clinical studies, MAESTRO-NASH and MAESTRO-NAFLD-1, designed to demonstrate multiple benefits in patients with NASH. For more information, visit www.madrigalpharma.com
