Senior Biostatistician

Location: Conshohocken

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 to mid-stage pipeline 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.

Responsibilities Develop and apply advanced statistical and machine-learning methods to high-dimensional biological and clinical data to support biomarker strategy, patient stratification, and clinical evidence generation.

Analyze and integrate complex datasets that may include genomics, transcriptomics, proteomics, metabolomics, single-cell data, spatial omics, imaging, and clinical outcomes.

Quantitative modeling and analyses using with multi-omic profiling, PK/PD biomarkers, and biobank- or EHR-linked genomic data.

Support the statistical design and analysis of early clinical and translational studies and contribute to protocols, analysis plans, interpretation of results, and scientific presentations.

Partner with translational scientists, clinicians, bioinformaticians, and data scientists to translate biological and clinical questions into fit-for-purpose quantitative analyses.

Qualifications 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). Ideal candidates will have between 3-5 years of relevant work experience. Level may be commensurate with experience.

Strong foundation in statistical modeling, predictive modeling, experimental design and the interpretation and validation of complex analytical results.

Proficiency in R and SAS, with working knowledge of Python and machine-learning libraries (scikit-learn, PyTorch, Tensor Flow).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.

Location This is a hybrid role based in Conshohocken, PA - three days per week in the office and two days…