Senior Biostatistician

About the role

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. Our medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR-β agonist designed to target key underlying causes of MASH.

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.
• Ability to apply human genetics methods (e.g., GWAS, polygenic risk scores, sequencing) to inform translational strategy is a plus.
• 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.

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.
• 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.
• Able to communicate complex analyses to non-statisticians and influence decisions across scientific and clinical teams.
• 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.

Location

This is a hybrid role based in Conshohocken, PA - three days per week in the office and two days remote. Some travel may be required (< 10%).

Pay

As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $150,000 - $182,500 per year. We comply with all applicable minimum wage laws.

Benefits

• 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).
• Additional voluntary benefits like supplemental life insurance, legal services, and other offerings.
• Mental health benefits through our Employee Assistance Program for employees and their family.