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# Data Scientist - Full Time

- **Company:** Epidemico, Inc.
- **Location:** Aurora, CO, United States
- **Experience:** Experienced
- **Salary:** $118,675.0 - $134,500.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Databases, Data Transformation, Data Systems, Software Debugging, R (Programming Language), Python (Programming Language), Machine Learning, Pattern Recognition, Software Engineering, SQL Databases, Computational Statistics, Model Validation, Build Management, Information Technology, Power Analysis (Cryptography), Software Version Control, Programming Languages
- **Published:** August 23, 2026
- **Apply:** https://www.careerjet.com/jobad/us855986a9d23b014dec8bc3f5be876e40

## About the Role

* Master's Degree required or bachelor's degree and 2 years relevant experience required.

 * Required degree concentration: Computer Science, Biostatistics/Statistics, Epidemiology, or other scientific, health, medical or social sciences field with a concentration in Data Science.
 * Relevant experience is defined as: Experience in Data Science, Statistic, Epidemiology, or other scientific, health, medical or social sciences field where activities included gathering, analyzing and interpreting statistical data.

 * Ability to apply advanced statistical techniques and develop predictive models to support research objectives.
 * Strong skills in statistical and programming languages (e.g., Python, R, SQL), including writing, debugging, and optimizing code.
 * Knowledge of methods for acquiring, cleaning, processing, and organizing large and complex datasets.
 * Ability to design, implement, and evaluate machine learning algorithms for pattern recognition and prediction.
 * Skill in creating meaningful visualizations to communicate findings.
 * Knowledge of study design considerations (e.g., experimental, observational), power analysis, sampling, and bias reduction.
 * Ability to translate complex analytical concepts for non-technical stakeholders and effectively work within multidisciplinary teams.
 * Skill in identifying research questions, diagnosing data issues, and selecting appropriate analytic approaches.

## Description

Data Acquisition & Preparation

 * Collect, extract and organize data from multiple sources (databases, EHRs, external datasets).
 * Clean, preprocess validate, and transform raw data for analysis, ensuring data quality and integrity.

Data Analysis & Modeling

 * Analyze data using advanced statistical, machine learning, and predictive modeling techniques.
 * Develop, implement, and optimize algorithms and models to solve business or research questions.

Visualization & Reporting

 * Design and build dashboards and visualizations to effectively communicate data insights
 * Prepare clear, concise reports describing methodologies, analyses, and results for stakeholders.
 * Present findings and recommendations to technical and non-technical audiences

Collaboration & Consulting

 * Collaborate with stakeholders, including clinicians, researchers, IT teams, to define objectives and data needs.
 * Consult on best practices, model selection, data interpretation, and ethical data use.

Software Development & Automation

 * Consult on best practices, model selection, data interpretation, and ethical data use
 * Implement reproducible workflows using version control and documentation.

Continuous Learning & Innovation

 * Stay current with new tools, technologies, and methodologies in data science and analytics.
 * Evaluate, test, and implement emerging data solutions to improve research or business processes.

Compliance & Security

 * Ensure adherence to data privacy, security regulations, and institutional policies.
 * Document all analytic processes and maintain confidentiality of sensitive information.


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