City of Hope
Posted 76 days agoVerified live 1d ago
Data Scientist, Revenue Cycle
Brief overview
Remote
UndergradOr in progress
$53–$85/hrStated range
116 H-1B approvalsDept. of Labor
13 green cardsCertified filings
Data analyticsStatistical modelingMachine learningPythonRJavaC/C++SQLSnowflakeTableauRandom ForestXGBoostLightGBMConvolutional Neural Networks (CNN)Recurrent Neural Networks (RNN)Long Short-Term Memory (LSTM)Healthcare revenue cycle data
About the company
City of Hopecityofhope.org
Medical research and treatment center for cancer and diabetes.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.116H-1B approved
100%approval rate
45new H-1B hires
13PERM certified
$80,443median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202328
202437
202545
20266
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20237
202414
202516
20265
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20233
20242
20258
Top sponsored roles
Postdoctoral FellowResearch AssociateStaff ScientistManager, Application Technology ServicesAssistant Research Professor
Sponsored employees from
India
Job description
Summary
City of Hope is a transformative organization focused on changing lives in the fight against cancer and other illnesses. The Data Scientist will analyze large datasets to support revenue cycle optimization, applying advanced analytics and machine learning techniques to enhance financial performance and patient experience.
Responsibilities
- Partner with revenue cycle, finance, and operational leaders to drive data-informed decision making across billing, coding, and collections
- Analyze large datasets from EHR, billing, claims, and financial systems to identify revenue leakage and optimization opportunities
- Develop and deploy predictive models to improve denials management, cash collections, and reimbursement outcomes
- Design and implement pilots to test and optimize revenue cycle strategies in real-time environments
- Build dashboards and visualizations to monitor KPIs such as AR days, denial rates, and net revenue performance
- Translate complex data findings into actionable insights for operational and executive stakeholders
- Identify trends and patterns related to payer performance, coding accuracy, and claim adjudication
- Lead analytics projects that support revenue cycle transformation and process improvement initiatives
- Collaborate cross-functionally with IT and clinical teams to enhance data quality and reporting capabilities
Skills
- Master's degree with 0+ years of experience, or Bachelor's degree with 3+ years of relevant experience
- Experience with data analytics, statistical modeling, and machine learning techniques
- Proficiency in at least one programming language such as Python, R, Java, or C/C++
- Strong experience with SQL and working with relational databases (e.g., Snowflake), along with data visualization tools such as Tableau
- Experience with machine learning methods (e.g., Random Forest, XGBoost, LightGBM) and deep learning techniques (e.g., CNN, RNN, LSTM)
- Demonstrated ability to extract, analyze, and interpret data to develop predictive models and drive financial outcomes
- Experience creating data visualizations and communicating insights to non-technical audiences
- Strong problem-solving skills with the ability to manage complex, cross-functional projects
- Familiarity with healthcare revenue cycle data, EHR systems (EPIC), claims, billing, and payer workflows required
- Experience with cloud platforms such as AWS or Azure and modern data science tools
Qualifications
Must Haves
- Master's degree with 0+ years of experience, or Bachelor's degree with 3+ years of relevant experience
- Experience with data analytics, statistical modeling, and machine learning techniques
- Proficiency in at least one programming language such as Python, R, Java, or C/C++
- Strong experience with SQL and working with relational databases (e.g., Snowflake), along with data visualization tools such as Tableau
- Experience with machine learning methods (e.g., Random Forest, XGBoost, LightGBM) and deep learning techniques (e.g., CNN, RNN, LSTM)
- Demonstrated ability to extract, analyze, and interpret data to develop predictive models and drive financial outcomes
- Experience creating data visualizations and communicating insights to non-technical audiences
- Strong problem-solving skills with the ability to manage complex, cross-functional projects
- Familiarity with healthcare revenue cycle data, EHR systems (EPIC), claims, billing, and payer workflows required
Nice to Haves
- Experience with cloud platforms such as AWS or Azure and modern data science tools
Benefits
- Comprehensive Benefits (details available via provided link)
More jobs like this
