Summary:
Quadax, an award-winning leader in healthcare revenue cycle technology, is
seeking a Data Science Analyst to join our Team and help us create the best
Revenue Cycle Optimization solution in the industry. You’ll use your knowledge
of healthcare revenue cycle business objectives to identify necessary data (SQL,
Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and
derive strategic insights to achieve the desired business benefits. You’ll work
closely with product managers, other data scientists, engineers, and business
analysts to ensure clear definition of all requirements and translating them
into value. You’ll leverage data insights to optimize the revenue cycle product
design and user experience of our Platform. We use PowerBI for visualization,
Snowflake for data management & sharing, and Azure Foundry for all modeling.
Local candidates preferred. Open to remote employees ONLY in: OH (if residence
is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA,
FL, TX, MO, SD, NC.
Responsibilities:
Ability to analyze complex data sets and create actionable insights
Uses knowledge of business objectives, strategies, and needs to identify
opportunities where data can be leveraged to achieve the desired business
benefits
Understands current data context, processes and availability, and how current
data processes and existing data can be leveraged to achieve the desired
benefits
Prepares and analyzes data. This can include - locating, profiling,
cleansing, extracting, mapping, importing, transforming, validating, or
modeling
Applies query, data exploration and transformation, basic statistical
methods, and visualization techniques to create business insights or improve
data quality
Performs validation and testing to confirm the accuracy of the information
created
Design and develop AI/ML solutions using Azure AI services.
Build and optimize document intelligence solutions using OCR, LLMs, and
hybrid approaches.
Support the creation and maintenance of project documentation
Develop, train, and deploy machine learning models for production workloads.
Qualifications:
Healthcare revenue cycle experience with hospitals, providers, and/or other
healthcare delivery organizations
2+ years of experience working as an IT Data Analyst or in Data Science
Strong Python programming skills and experience with common ML frameworks
(scikit-learn, XGBoost)
Experience with agile development and software development life cycle (SDLC)
processes
Proficiency with SQL programming
Experience with Microsoft Azure, including Azure AI/AI Foundry and related AI
services
Strong business acumen and data analysis skills and the ability to identify
customer needs, analyze them against available solutions, and identify gaps
Interprets and presents data analysis results including explanation of
statistical and financial techniques used, assumptions made and summary of
results
Excellent written and verbal communication skills