---
title: "Jane Doe --- Resume"
author: "Jane Doe"
job-title: "Quantitative Scientist · Research Software Leader"
address: "Example City, EX"
phone: "(000) 000-0000"
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## Summary

- Quantitative scientist with eight years of experience turning complex evidence into practical decisions across research, product, and policy teams
- Builder of reproducible analytical systems that connect careful statistical thinking with durable, well-documented software
- Collaborative technical leader known for making rigorous work understandable to scientists, engineers, and decision makers

## Experience

::: resume-entry
**Example Corporation** [Seattle, WA · 2022--Present](){.resume-meta}

**Principal Data Scientist** [Evidence Systems](){.resume-meta}

- Led a cross-functional program that standardized analysis workflows for twelve research teams, cutting review cycles while improving traceability
- Designed reusable R and Python tools for simulation, reporting, and quality control; established documentation and release practices adopted across the organization
- Mentored scientists and engineers on study design, statistical communication, and maintainable research software
:::

::: resume-entry
**Example Research Institute** [Portland, OR · 2018--2022](){.resume-meta}

**Senior Statistician** [Methods Group](){.resume-meta}

- Developed study designs and analysis plans for observational and experimental research in collaboration with clinical and operational partners
- Created an internal package ecosystem for validated data transformations and publication-ready outputs, reducing duplicated implementation work
- Presented methodological findings to technical and nontechnical audiences and supported successful external collaborations
:::

::: resume-entry
**Example University** [Boston, MA · 2015--2018](){.resume-meta}

**Research Fellow** [Department of Statistics](){.resume-meta}

- Investigated robust methods for high-dimensional prediction and translated the work into open source reference implementations
- Taught graduate workshops on reproducible analysis, data visualization, and scientific programming
:::

## Education

::: resume-entry
**Example University** [Boston, MA](){.resume-meta}

PhD in Statistics [2015](){.resume-meta}

Dissertation: *Reliable learning from heterogeneous biomedical data*
:::

::: resume-entry
**Example College** [Madison, WI](){.resume-meta}

BSc in Mathematics, summa cum laude [2010](){.resume-meta}
:::

## Selected Open Source Projects

- **lumen** --- workflow tools for reviewable statistical analyses [project site](https://example.com)
- **clearplot** --- accessible themes and scales for scientific graphics [project site](https://example.com)
- **trialcraft** --- simulation utilities for adaptive study designs [project site](https://example.com)

## Selected Publications

- J. Doe, M. Rivera, and A. Chen. Reproducible evidence systems for collaborative research. *Journal of Open Research Software*, 2025.
- A. Chen and **J. Doe**. Robust estimation under practical data constraints. *Computational Statistics*, 2023.
- **J. Doe** and S. Patel. Transparent simulation studies for complex designs. *The American Statistician*, 2021.

## Honors & Service

- Open Research Software Award, Association for Scientific Computing [2024](){.resume-meta}
- Associate editor, *Journal of Reproducible Analytics* [2022--Present](){.resume-meta}
- Organizer, Cascadia Statistical Computing Meetup [2019--2023](){.resume-meta}
