Senior Biostatistician

Madrigal Pharmaceuticals•Conshohocken, PA

3d•$150,000 - $182,500•Hybrid

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. Madrigal Pharmaceuticals is a biopharmaceutical company delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, and premature mortality. Our medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR-β agonist designed to target F2/F3 MASH. The Senior Biostatistician is an individual contributor working across biostatistics, translational development, and data science. The role supports biostatistical activities in clinical development - with a focus on early development (Phase IIa) and in causal inference using real-world data - and contributes to biomarker development, statistical modeling, and analysis of high-dimensional data. Title and scope are commensurate with experience. Reports to the VP of Biostatistics.

Requirements

Ph.D. in (Bio)statistics, Statistics, Data Science, or a related quantitative field, with at least 2 years of relevant experience (or equivalent internship, co-op, or postdoctoral research).
Proficiency in R and SAS, with working knowledge of Python and machine-learning libraries (scikit-learn, PyTorch, TensorFlow).
Building data pipelines that transform high-dimensional and real-world datasets into analysis-ready form.
Ability to communicate complex analyses to non-statisticians and influence decisions across scientific and clinical teams.

Nice To Haves

Ability to apply human genetics methods (e.g., GWAS, polygenic risk scores, sequencing) to inform translational strategy is a plus.
Experience with real-world data sources and knowledge of regulatory guidelines a plus.
Familiarity with multi-omic and PK/PD biomarker data and with biobank- or EHR-linked genomic datasets a plus.

Responsibilities

Develop and apply statistical and machine-learning models to high-dimensional data to support biomarker strategy and clinical evidence generation.
Work with multi-omic profiling, PK/PD biomarkers, and biobank- or EHR-linked genomic data
Generate real-world evidence from observational data and apply causal-inference methods to draw robust conclusions from non-randomized studies.
Support the design and analysis of clinical trials and real-world data (claims, EHR, registries); contribute to protocols and Statistical Analysis Plans.
Partner across translational science, early clinical research, Real-World Evidence generation, and contribute to publications and conferences.