Data Scientist I

• Data analyst will gather data from various sources, including databases, APIs, and files.
• They will ensure data quality by identifying and rectifying inconsistencies, missing values, and errors.
• Data cleaning which will involve standardizing formats, handling outliers, and ensuring data accuracy.

• The analyst will transform raw data into usable formats. This includes merging datasets, creating new variables, and reshaping data.
• They will use tools like Excel, SQL, SAS, Python, and R to manipulate and wrangle data effectively.

• EDA will involve exploring data to understand its characteristics, distributions, and relationships.
• The analyst will visualize data using charts, histograms, scatter plots, and summary statistics.
• Identifying trends, patterns, and outliers.

• The analyst will apply statistical techniques under the guidance of PI and research teams.
• They can perform regression analysis, hypothesis testing, clustering, or time series analysis, as recommended by the PI.
• Machine learning models (e.g., predictive models) will also be built to make data-driven decisions.

• The analyst will develop a working understanding of the specific healthcare and dental data domain.

• The analyst will create clear and actionable reports, visualizations, or presentations, as requested by the PI.
• Stakeholders (such as PIs, or clinicians) will be able to use these insights to make informed decisions.
• Tools like Tableau, Power BI, or custom scripts will be used to generate visualizations.

• The analyst will ensure compliance with data privacy regulations (e.g., HIPAA for healthcare data and other DUA specifications).
• They protect sensitive information and maintain data security.

1-2 years of experience with electronic health records, electronic dental records, other big data, and administrative claims is preferred. Must be proficient with one or more of the following softwares: R, python, SAS, Stata