Scheduled Weekly Hours: 40 Shift: Exempt/Non-Exempt: United States of America (Exempt) Company: SYSTEM West Virginia University Health System Cost Center: 574 SYSTEM Strategic Staffing Solutions
Associate Data Scientist
Location
United States
Posted
15 days ago
Salary
0
Seniority
Mid Level
Job Description
Associate Data Scientist
WVU Medicine
Role Description The Associate Data Scientist will support the development, analysis, and validation of data-driven models and analytical solutions that improve healthcare operations and patient outcomes at WVU Medicine. Working alongside data scientists, ML engineers, and clinical analysts, this role applies foundational data science and statistical skills, contributes to data pipelines and exploratory analysis, and helps translate healthcare data into meaningful insights. This is an entry-level to early-career role for candidates who have curiosity about healthcare data and how analytical insights can improve patient care. Qualifications - Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field AND 2 years of professional experience in data science or healthcare analytics. - OR Master’s degree in a related quantitative field and 1 year of professional experience or equivalent demonstrated through academic projects, independent work, or a portfolio in data science or healthcare data analysis, business intelligence, or healthcare reporting. - Certifications or coursework in data science, statistics, or analytics tools and platforms (preferred). Requirements - Hands-on experience with statistical modeling or machine learning. - Familiarity with data visualization libraries or business intelligence tools. - Demonstrated experience or equivalent project work writing SQL queries to extract, join, filter, and transform data from relational databases. - Experience or equivalent project work using data to identify trends, patterns, or anomalies. Core Duties and Responsibilities - Support data collection, cleaning, preprocessing, and exploratory analysis to prepare datasets for modeling and reporting. - Assist in building, evaluating, and validating statistical and machine learning models using Python. - Support data collection, cleaning, and preprocessing to ensure datasets are accurate, complete, and ready for analysis and modeling. - Assist in feature engineering and selection by identifying, transforming, and evaluating variables from raw healthcare data. - Perform exploratory data analysis to identify patterns, trends, and anomalies in healthcare operational and clinical datasets. - Apply foundational statistical methods including regression, classification, and clustering to analyze healthcare data and surface actionable insights. - Support feature selection by analyzing variable distributions, correlations, and statistical significance. - Document analytical processes, data definitions, model assumptions, and findings clearly and thoroughly. - Participate in team ceremonies including standups, sprint planning, and project reviews. - Monitor model and report outputs for accuracy, relevance, and drift. - Stay current with advancements in data science, statistical methods, and analytical tools relevant to healthcare operations. - Must pass Electronic medical record system Proficiency or Certification and continue maintaining it. Physical Requirements - Primarily sedentary office or remote work environment. - Prolonged periods working at a computer workstation. Working Environment - Normal office environment or remote work setting. Skills and Abilities - Proficiency in Python and SQL for data querying, manipulation, and basic analytical modeling. - Foundational knowledge of statistical analysis and the ability to apply common methods such as regression, clustering, and classification to real data. - Ability to work with structured, unstructured, balanced, and imbalanced data including data cleaning, transformation, and exploratory data analysis. - Foundational understanding that patient data is sensitive and must be handled responsibly. - Comfort working collaboratively in team settings, including structured or Agile-style workflows. - Understanding of SQL and data processing. Additional Job Description - Scheduled Weekly Hours: 40 - Shift: Exempt/Non-Exempt: United States of America (Exempt) - Company: SYSTEM West Virginia University Health System - Cost Center: 576 SYSTEM IT Artificial Intel Analytics - Address: 1 Medical Center Drive, Morgantown, West Virginia
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