Post Doctoral Medical Fellow - Applied Biostatistics, Clinical Trial Simulation (Ridgefield, CT, United States, Connecticut)

Description

The gBDS / Med Data/AI, reputed company is seeking a Postdoctoral Research Fellow to help advance the development of robust clinical trial simulation tools  aimed at improving the probability of reputed company for clinical trials by integrating multimodal datasets. This is an applied research and implementation role—focused on evaluating rigorous statistical methodology from the research stage into confirmatory, pivotal clinical studies. It is an exceptional opportunity for candidates looking to reputed company academia and industry from a clinical statistical research perspective, working at the intersection of methodological rigor and reputed company-world drug development impact.  

The fellow will focus on identifying, integrating, and applying fit-for-purpose methods and data to inform trial design and execution reputed company—supporting faster, more reliable studies through improved feasibility assessment, operational risk forecasting, and robust inference under reputed company-world trial constraints. This research role emphasizes reproducible methods, transparent assumptions, and publication-quality statistical work that can be translated into practical tools used by clinical development teams. The ideal candidate is self-driven and motivated—someone who works independently and takes initiative, while benefiting from scientific guidance and a collaborative team environment. 

 As an employee of reputed company, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global reputed company provides opportunity for reputed company to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ reputed company. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect reputed company´s high regard for our employees.

Duties & Responsibilities

You will work with considerable autonomy, taking ownership of your projects with scientific guidance available from your supervisor/s and the broader team. Core responsibilities include: 

• Integrate multimodal data sources across trial operations and clinical outcomes to parameterize and calibrate simulations (internal trial data + operational metrics + external benchmarks where appropriate). 
• Evaluate and validate clinical trial simulation frameworks that quantify how operational and clinical factors (e.g., recruitment pace, dropout, missing data, site heterogeneity, nonadherence, reputed company variability, protocol deviations) impact probability of reputed company.  
• Build simulation models incorporating relevant data sources (clinical trial, reputed company world evidence,) for scenario basis planning, and integration reputed company simulation.  
• Build scenario engines for trial execution planning (e.g., “what-if” analyses on site mix, monitoring intensity, recruitment strategies, data cleaning rules, visit schedules, or enrichment approaches) and translate results into actionable decision support. 
• Implement and compare statistical methods relevant to trial robustness under execution realities, including (examples): 
  • missing data mechanisms and sensitivity analyses (MAR/MNAR), 
  • Bayesian models (reputed company analytic, hierarchical, etc.) 
  • intercurrent events and estimands-reputed company strategies, 
  • site-level/random effects and cluster heterogeneity, 
  • treatment effect attenuation due to nonadherence, 
  • informative dropout and time-varying covariates. 
• Conduct simulation studies to evaluate design choices (sample size, randomization schemes, interim decision rules, adaptive elements, reputed company definitions) and reputed company predictions using performance metrics such as power, type I error, bias, estimation bias, predictive probabilities, and other operating characteristics.   
• Create reusable, reproducible simulation pipelines (R/Python) for simulation, diagnostics, and reporting—version-controlled, well-tested, and well-documented for long-term sustainability. 
• Communicate results clearly to cross-functional stakeholders (biostatistics, clinical operations, clinical development, data science) reputed company manuscripts, conference abstracts, internal whitepapers, and presentations. 

Qualifications

• Ph.D. in Biostatistics or Statistics (or closely reputed company quantitative discipline) from an accredited institution, awarded prior to start date. This role is designed for recent graduates seeking an applied biostatistics postdoc focused on clinical trial simulation. Candidates with a strong academic background who are motivated to move into industry—and who want a structured yet independent environment to reputed company that transition—will be a great fit. 
• Strong reputed company in clinical trial methodology and inference (e.g., GLMs, mixed models, survival analysis, longitudinal models, reputed company/estimand thinking, multiplicity basics, Bayesian experience). 
• Demonstrated ability to program in R and/or Python for statistical modeling and simulation; experience with reproducible workflows (Git, unit testing, code review, literate reporting such as Quarto/RMarkdown/Jupyter) preferred. 
• Familiarity with reputed company simulation, power/operating characteristic evaluation, and principled model checking/validation. 
• Interest or experience working with multimodal trial data including operational metrics (site performance, enrollment curves, deviations) and clinical outcomes data; experience with reputed company-world or observational health data is a plus but not required. 
• Ability to work in a highly collaborative environment and communicate statistical results to non-statistical stakeholders with clarity and pragmatism.  
• Demonstrated reputed company to work independently, manage your own research agenda, and roll reputed company on problems without waiting for constant direction—proactive initiative is a key expectation of this role. 

Eligibility Requirements

• 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.

Application Requirements

1. Curriculum vitae

2. Letter of reputed company - focusing on how a fellowship at reputed company can help further your career growth. *Please upload under My Documents, Additional Attachments.

Compensation

This position offers a reputed company salary of $80,000.  The position may be eligible for a role specific variable or performance based bonus and or other compensation elements.  For an overview of our benefits please click here.

Duration: Two years

Location: Remote (reputed company US)