Postdoctoral Medical Fellow – Applied Biostatistics, Clinical Trial Simulation

Boehringer Ingelheim

. Integrate multimodal data sources across trial operations and clinical outcomes to parameterize and calibrate simulations .

Posted 10/28/2026full-timeRemote • United StatesSeniorLead💰 $80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in clinical trial methodology and statistical modeling, with proficiency in R and Python for simulation and analysis. Strong ability to communicate complex statistical results to diverse stakeholders and manage independent research agendas.

Highest-signal resume keywords

Ph.D. In Biostatistics Or StatisticsClinical Trial MethodologyStatistical Modeling In R/PythonMonte Carlo SimulationReproducible Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generalized Linear Models (GLMs)Mixed ModelsSurvival AnalysisLongitudinal ModelsBayesian ExperienceStatistical MethodsSimulation StudiesPower EvaluationType I Error AssessmentPredictive Probabilities

Soft Skills

Collaborative WorkClear CommunicationIndependent Research Management

Tools & Technologies

GitQuartoRMarkdownJupyterSimulation Pipelines

Industry Keywords

Clinical Outcomes DataTrial OperationsDecision SupportAdaptive ElementsEndpoint Definitions

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Integrate multimodal data sources across trial operations and clinical outcomes to parameterize and calibrate simulations
Evaluate and validate clinical trial simulation frameworks quantifying how operational and clinical factors affect probability of success
Build simulation models incorporating clinical trial and real-world evidence data for scenario-based planning
Build scenario engines for trial execution planning and translate results into actionable decision support
Implement and compare statistical methods for trial robustness under execution realities, including missing-data sensitivity analyses, Bayesian models, intercurrent events and estimand-aligned strategies, site-level/random effects, treatment-effect attenuation, informative dropout, and time-varying covariates
Conduct simulation studies evaluating sample sizes, randomization schemes, interim decision rules, adaptive elements, and endpoint definitions
Assess performance metrics including power, type I error, bias, estimation bias, predictive probabilities, and other operating characteristics
Create reusable, reproducible R/Python simulation pipelines for simulation, diagnostics, and reporting
Maintain version-controlled, well-tested, and well-documented workflows
Communicate results to biostatistics, clinical operations, clinical development, and data science stakeholders through manuscripts, conference abstracts, internal whitepapers, and presentations
Work with considerable autonomy, taking ownership of projects with scientific guidance from supervisors and the broader team

Requirements

What you’ll need

Ph.D. in Biostatistics or Statistics (or closely related quantitative discipline) from an accredited institution, awarded prior to start date
Strong foundation in clinical trial methodology and inference, including GLMs, mixed models, survival analysis, longitudinal models, causal/estimand thinking, multiplicity basics, and Bayesian experience
Demonstrated ability to program in R and/or Python for statistical modeling and simulation
Experience with reproducible workflows preferred, including Git, unit testing, code review, and literate reporting such as Quarto, RMarkdown, or Jupyter
Familiarity with Monte Carlo simulation, power/operating characteristic evaluation, and principled model checking/validation
Interest or experience working with multimodal trial data, including operational metrics and clinical outcomes data
Ability to work collaboratively and communicate statistical results to non-statistical stakeholders clearly and pragmatically
Demonstrated capacity to work independently and manage an individual research agenda
Must be legally authorized to work in the United States without restriction
Must be willing to take a drug test and post-offer physical, if required
Must be 18 years of age or older
Curriculum vitae required
Letter of intent required, focusing on how a fellowship at Boehringer Ingelheim can further career growth

Benefits

Comp & perks

Competitive compensation and benefit programs
Healthy working environment
Meaningful work
Mobility opportunities
Networking opportunities
Work-life balance
Potential eligibility for a role-specific variable or performance-based bonus and/or other compensation elements