Remote Postdoc: Applied Biostatistics for Trial Simulations

Boehringer Ingelheim; Ridgefield (CT); Remote; USD 68,000 - 92,000; Full time

Job summary

Boehringer Ingelheim is seeking a Postdoctoral Research Fellow to advance robust clinical trial simulation tools by integrating multimodal datasets. The role is applied and bridge academia to industry, emphasizing reproducible methods and practical tools for clinical development teams.

You will work with a collaborative team to evaluate rigorous methodologies, implement simulation frameworks, and translate findings into decision support for study design, site performance, and operational risk

Qualifications

• Ph.D. in Biostatistics or Statistics from an accredited institution.
• Strong foundation in clinical trial methodology and inference (GLMs, mixed models, survival analysis, longitudinal models, causal/estimand thinking).
• Experience with reproducible workflows (Git, literate reporting) and programming in R and/or Python.

Responsibilities

• Integrate multimodal data sources across trial operations and clinical outcomes to parameterize simulations.
• Evaluate and validate clinical trial simulation frameworks under operational factors.
• Build simulation models for scenario basis planning and integration via simulation.
• Create reusable simulation pipelines (R/Python) with version control and documentation.
• Communicate results to cross-functional stakeholders via manuscripts, abstracts, and presentations.
• Contribute to design and analysis plans for robust trial inference and feasibility assessment.

Skills

R programming

Python programming

GLMs

Mixed models

Survival analysis

Causal/estimand thinking

Bayesian methods

Monte Carlo simulation

Git

Reproducible workflows

Quarto/RMarkdown/Jupyter

Multimodal data

Communication with non-statisticians

Education

Ph.D. in Biostatistics or Statistics

Tools

R

Python

Git

Quarto/RMarkdown/Jupyter

Job description

The global biostatistics and data sciences (gBDS) at Boehringer Ingelheim is seeking a Postdoctoral Research Fellow to help modernize clinical trial simulations. The goal is to use AI and agentic workflows to speed up the setup of simulations: gathering relevant data, drafting data-informed priors and design assumptions, and making scenarios easier to iterate on. Statisticians and clinical teams curate and validate every assumption and remain in charge of the simulation and its conclusions, so that assumptions reflect how trials actually run.

This is an applied research and implementation role at the intersection of data science, AI engineering, and biostatistics. The fellow will not be expected to invent new simulation methodology. Instead, they will design, build, and evaluate AI-assisted workflows that help statisticians and clinical development teams move from question to credible simulation results more efficiently — for example, agents that extract design assumptions from protocols and historical trials, benchmark those assumptions against internal and external data, draft simulation setups for statisticians to review, adjust, and approve, and summarize results for decision-makers.

The work emphasizes transparency, reproducibility, and human oversight: AI prepares and proposes, people curate, validate, and decide, so that AI accelerates the setup without obscuring the assumptions behind it. The ideal candidate is self-driven, works independently and takes initiative, and benefits from scientific guidance and a collaborative team environment.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. 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 Boehringer Ingelheim´s high regard for our employees.

Description

The global biostatistics and data sciences (gBDS) at Boehringer Ingelheim is seeking a Postdoctoral Research Fellow to help modernize clinical trial simulations. The goal is to use AI and agentic workflows to speed up the setup of simulations: gathering relevant data, drafting data-informed priors and design assumptions, and making scenarios easier to iterate on. Statisticians and clinical teams curate and validate every assumption and remain in charge of the simulation and its conclusions, so that assumptions reflect how trials actually run.

This is an applied research and implementation role at the intersection of data science, AI engineering, and biostatistics. The fellow will not be expected to invent new simulation methodology. Instead, they will design, build, and evaluate AI-assisted workflows that help statisticians and clinical development teams move from question to credible simulation results more efficiently — for example, agents that extract design assumptions from protocols and historical trials, benchmark those assumptions against internal and external data, draft simulation setups for statisticians to review, adjust, and approve, and summarize results for decision-makers.

The work emphasizes transparency, reproducibility, and human oversight: AI prepares and proposes, people curate, validate, and decide, so that AI accelerates the setup without obscuring the assumptions behind it. The ideal candidate is self-driven, works independently and takes initiative, and benefits from scientific guidance and a collaborative team environment.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. 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 Boehringer Ingelheim´s high regard for our employees.

Duties & Responsibilities

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

• Design and build AI-agentic workflows (LLM-based agents, tool-calling pipelines) that support the trial simulation lifecycle end to end: assumption gathering, scenario setup, execution, and reporting


• Develop approaches to ground simulation assumptions in reality by retrieving, extracting, and reconciling evidence from multimodal sources — internal trial data, operational metrics (enrollment, site performance, dropout, protocol deviations), protocols, publications, trial registries, and real-world data


• Integrate AI workflows with existing statistical simulation tools and packages in R/Python, so that agents orchestrate validated statistical code rather than replace it


• Build, test & assess scenario and "what-if" capabilities (site mix, visit schedules, monitoring intensity, enrichment approaches) that let cross-functional teams explore trade-offs quickly and translate results into decision support


• Evaluate the reliability of AI-assisted workflows: accuracy of extracted assumptions, reproducibility of outputs, failure modes, and agreement with expert-built simulations. Establish human-in-the-loop checkpoints, audit trails, and guardrails appropriate for a regulated environment


• Partner with biostatisticians to keep outputs statistically sound — operating characteristics (power, type I error, bias), missing data and dropout assumptions, site heterogeneity, and Bayesian borrowing from historical data. Biostats own the methodology; you make it faster to apply, easier to explore, and better grounded in data


• Carry out broad exploratory and applied data analysis across operational and clinical datasets to surface patterns, data quality issues, and opportunities where AI or automation adds value


• Create reusable, well-tested, version-controlled, and documented pipelines and tools that clinical development teams can adopt and maintain over time


• Communicate results clearly to cross-functional stakeholders (biostatistics, clinical operations, clinical development, data science, IT) through demos, presentations, internal whitepapers, manuscripts, and conference abstracts

Qualifications

• Ph.D. in Data Science, Statistics, Biostatistics, Computer Science, Epidemiology, or a closely related quantitative discipline, awarded prior to the start date. This role is designed for recent graduates who want an applied postdoc in an industry setting, with a structured yet independent environment to support that transition


• Hands-on experience building applications with large language models and/or agentic frameworks (e.g. LangChain/LangGraph, OpenAI or Anthropic APIs, or similar), including prompt design, retrieval-augmented generation, tool use, and evaluation of model outputs


• Strong programming skills in Python; working knowledge of R is a plus. Experience with reproducible software practices — Git, unit testing, code review, APIs, and literate reporting such as Quarto or Jupyter — is preferred


• Working knowledge of applied statistics — regression, mixed models, survival or longitudinal data, uncertainty quantification, Monte Carlo simulation — and comfort with Bayesian ideas is aa plus. You do not need to be a specialist in either: methodological depth sits with the biostatistics team, and curiosity about clinical trial methodology matters more here than prior expertise in it


• Broad, generalist data analysis skills: comfort with messy, heterogeneous, and unstructured data — tables, documents, free text — and the judgment to choose pragmatic methods that fit the question


• Familiarity with clinical trial concepts, operational trial data, or real-world health data is a plus but not required


• Awareness of responsible AI practices, including validation, transparency, bias, and traceability; experience in regulated or otherwise high-stakes settings is a plus


• Ability to work in a highly collaborative environment and explain technical and statistical results to non-technical stakeholders with clarity and pragmatism


• Demonstrated capacity to work independently, manage your own research agenda, and move problems forward 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 intent - focusing on how a fellowship at Boehringer Ingelheim can help further your career growth. *Please upload under My Documents, Additional Attachments.

Compensation

This position offers a base salary of $80,000. We continuously review market data and may adjust salary ranges as needed in the future. Benefits include medical coverage, paid time off, paid holidays, disability and life insurance benefits, and other company-sponsored benefits. For additional information regarding our benefits and Total Rewards offerings, please click here .

Duration: Two years

Location: Remote (within US)

Our Company

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,300 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com.

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com