Postdoctoral Medical Fellow – Applied Biostatistics, Clinical Trial Simulation

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $80k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Boehringer Ingelheim

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🏭 Manufacturing

💊 Pharmaceuticals

Healthcare • Manufacturing • Pharmaceuticals

Boehringer Ingelheim is a global, research-driven, family-owned pharmaceutical company headquartered in Germany that discovers, develops, manufactures, and markets prescription medicines, biopharmaceuticals, vaccines, and animal health products. The company focuses on therapeutic areas including respiratory, cardiovascular, metabolic, oncology, immunology, and zoonotic diseases, and invests heavily in R&D and biotechnology to advance drug discovery and development. It operates worldwide across both human pharmaceuticals and animal health markets, partnering with academic institutions and biotech firms to translate scientific research into therapies.

📋 Description

• 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

• 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

• 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