Senior Biostatistician

Madrigal Pharmaceuticals Corporation

$150K — $182K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in (Bio)statistics, Statistics, Data Science, or related quantitative field with 2-5 years of relevant experience.
  • Proficient in R and SAS; familiarity with Python and machine-learning libraries such as scikit-learn, PyTorch, TensorFlow.
  • Experience in building data pipelines for analysis-ready datasets.
  • Strong communication skills to explain complex analyses to non-statisticians.
  • Knowledge of real-world data sources and regulatory guidelines preferred.
  • Familiarity with multi-omic and PK/PD biomarker data is a plus.

Responsibilities

  • Develop and apply statistical and machine-learning models to support biomarker strategy and clinical evidence generation.
  • Work with multi-omic profiling and genomic data from biobanks or EHR.
  • Generate real-world evidence using observational data and causal-inference methods.
  • Support the design and analysis of clinical trials and contribute to statistical plans.
  • Collaborate across translational science and early clinical research efforts.
  • Contribute to scientific publications and present findings at conferences.

Benefits

  • Equity options to foster ownership culture and align performance with company success.
  • Flexible paid time off to accommodate work-life balance.
  • Comprehensive medical, dental, and vision insurance.
  • 401(k) plan with traditional and Roth options, including employer matching.
  • Access to mental health support through an Employee Assistance Program.
  • Additional voluntary benefits including supplemental life insurance and legal services.
Full Job Description
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.

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. Level may be commensurate with 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.
  • Ability 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%).

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 $150,000 - $182,500 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 [redacted].

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