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# Data Scientist (SOM Pediatric Neonatology&#x29

- **Company:** Johns Hopkins University
- **Location:** Baltimore, MD, United States
- **Experience:** Experienced
- **Salary:** $99,800.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Clinical Data Repository, Computer Simulation, Computer Programming, Data Architecture, Data Validation, Data Visualization, Linux, R (Programming Language), Python (Programming Language), Machine Learning, RStudio, Service Design, SQL Databases, Visual Studio Online, Data Processing, Deep Learning, Jupyter, Data Management, Programming Languages
- **Published:** June 12, 2026
- **Apply:** https://main.hercjobs.org/jobs/22345523/data-scientist-x28-som-pediatric-neonatology-x29

## About the Role

* Bachelor's Degree.
 * Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.
 * Additional education may substitute for required experience and additional related experience may substitute for required education permitted by the JHU equivalency formula. Beyond a high school diploma/graduation equivalent, to the extent, * Bulk RNA-seq, single-cell transcriptomics, spatial transcriptomics, metabolomics, proteomics, and microbiome data
 * Proficiency in R and/or Python
 * Machine learning (supervised and unsupervised) and deep learning.
 * Adept in developmental environments including: RStudio, VS code, Jupyter.
 * Experience with tools such as Seurat, Scanpy, DESeq2, edgeR, Monocle, CellRanger, QIIME2, HUMAnN, or comparable platforms
 * Familiarity with Snakemake, Nextflow, or similar workflow frameworks preferred
 * Experience in medical imaging, multi-omics, and clinical data integration with the ability to deliver reproducible and efficient workflows.

 * Proficient in Python, R, SQL, Linux, and deep learning frameworks, with a strong focus on applying computational methods to solve real-world biomedical problems

Technical Skills & Expected Level of Proficiency

 * Continuous Improvement - Developing
 * Data Architecture - Developing
 * Data Management and Analysis - Developing
 * Data Tools and Platforms - Developing
 * Data Validation and Quality Assurance - Developing
 * Data Visualization - Developing
 * Machine Learning - Developing
 * Oral and written communications - Developing
 * Programming Languages - Developing

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

## Description

* Support the development of dashboards, calculations, and reports which may require programming.
 * Support the development and tuning of machine learning models, which may require programming.
 * Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
 * Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design.
 * Perform error analysis and suggest and implement improvements.
 * Other duties as assigned.


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