Seeking a data analyst or bioinformatics role applying Python, R, SQL, and programming skills to drive business decisions. I value clear communication and growth within data-driven teams. Open to relocation or remote work, with strong interest in biotech, life sciences, and analytics roles that deliver measurable business impact.
Rachel Hunter
@rachelhunter
Bioinformatics graduate and applied AI/ML practitioner focused on high-quality data and clear, mission-driven communication.
What I'm looking for
I’m a bioinformatics graduate and applied AI/ML practitioner with hands-on machine learning data experience, grounded in a research background in statistical modeling and scientific publication. I enjoy turning messy, real-world datasets into reliable signals—whether that’s sensor data quality for downstream model performance or ecological data that supports hypothesis-driven conclusions.
In my current role as a Data Labeler, I support autonomous driving machine learning by labeling and validating large-scale sensor datasets, identifying complex edge cases like occlusions, unusual road layouts, and weather effects. I balance high labeling throughput with strict accuracy and consistency requirements while keeping pace with evolving project guidelines.
Before that, I worked as a Research Assistant on Antarctica soil microbial and invertebrate populations, where I prepared and cleaned extensive ecological datasets using R and Excel, ran exploratory data analysis, and applied statistical models to identify environmental predictors. I’m also drawn to mission-driven work: I founded No Small Voice, creating surveys and educational materials to improve insurance access for individuals with type one diabetes, and I’ve taught coding through Girls Who Code by building an accessible curriculum for beginners.
Experience
Work history, roles, and key accomplishments
Supported autonomous driving machine learning models by labeling and validating large-scale sensor datasets, ensuring data quality for downstream model performance. Identified complex driving scenarios and edge cases to improve training coverage while maintaining high throughput and accuracy against evolving guidelines.
Research Assistant
Brigham Young University
Aug 2021 - Apr 2025 (3 years 8 months)
Supported faculty-led research on soil microbial and invertebrate populations in Antarctica’s McMurdo Dry Valleys. Cleaned and integrated ecological datasets in R/Excel, performed exploratory analysis and statistical modeling to identify environmental predictors, and collaborated to refine hypothesis-driven approaches and visualizations for presentations.
Conducted market basket analysis to identify optimal item groupings for promotions and incorporated profitability factors to improve sales strategy decision-making. Built data visualizations and analysis workflows using Tableau, SQL, and Excel to support revenue-oriented insights.
Accurately packed customer orders while meeting productivity quotas in a high-volume environment and maintaining quality control standards. Collaborated with managers to resolve inventory and equipment issues quickly to improve workflow efficiency.
Education
Degrees, certifications, and relevant coursework
Brigham Young University
Bachelor of Science, Bioinformatics
Grade: 3.27 GPA
Activities and societies: University Honors; Delta Alpha Phi Honor Society; Foreign Language Housing; Scholarships; Chinese Club President; Bioinformatics Research Club; Relevant coursework included Intro to AI, Algorithms Design, and Evolutionary/Ecological Modeling.
Earned a Bachelor of Science in Bioinformatics from Brigham Young University, graduating in Dec 2025. Received scholarships and University Honors and completed mentored research and a capstone project.
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Authorized to work in
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