Overview

We are in search of a talented Data Scientist with a robust background in applied data science within the healthcare sector. This role requires expertise in leveraging healthcare claims data and processes, with a strong emphasis on Revenue Cycle Management (RCM) Analytics, to derive actionable insights. The ideal candidate will possess exceptional analytical skills, the ability to navigate through ambiguity, and a strong commitment to transforming data into tangible results by moving up the data-to-wisdom ladder.

Hybrid work model - Travel to office 1-2 days per week

Job Highlights

• Analyze healthcare claims data to identify trends, anomalies, and opportunities for optimization, focusing on RCM analytics.
• Develop predictive models and algorithms to forecast and enhance healthcare billing and payment workflows.
• Collaborate with cross-functional teams to conceptualize and implement data-driven solutions addressing various business challenges.
• Apply statistical techniques and machine learning algorithms to extract actionable insights from complex healthcare datasets.
• Communicate findings and recommendations effectively to stakeholders through clear and concise presentations and reports, emphasizing data visualization skills to transform complex data into insightful visuals.
• Stay abreast of industry trends and best practices in healthcare analytics, data science, and RCM processes.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field or equivalent experience.
• Master's degree preferred.
• Minimum of 1 year of practical experience working with healthcare claims data and processes, with a focus on RCM.
• Knowledge of healthcare data standards, regulations, and interoperability frameworks (e.g., HIPAA, HL7) is required.
• Proficiency in programming languages such as R or Python for data analysis and modeling.
• Proficiency in SQL for querying databases.
• Ability to use data to answer questions, avoid statistical traps, and ascend the data-to-wisdom ladder.
• Strong problem-solving skills with the ability to work independently and in a team environment.
• Excellent communication and interpersonal skills, with a demonstrated ability to present data visually and effectively.

Anesthesia Partners, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, status as a parent, national origin, age, disability (physical or mental), family medical history or genetic information, political affiliation, military service, or other non-merit based factors.