Data Scientist Healthcare Fraud Waste and Abuse Analytics

About the job

Novacis Digital is seeking a highly technical and creative Data Scientist with over 10+ years of experience to join our fraud analytics and AI team! This role combines deep healthcare domain expertise with advanced analytics to detect fraudulent claims or members or providers while ensuring legitimate claims are processed efficiently. You'll work at the intersection of healthcare insurance and data science to predict fraud based on claims and health insurance data.

Position Responsibilities

Time Series & Longitudinal Health Analytics

• Design early warning systems for claims that deviate from expected utilization patterns

Behavioral Analytics & Sequential Pattern Mining

• Analyze provider billing sequences to identify unusual patterns in care delivery, service combinations, or billing timing
• Develop session-based analysis of claimant interactions with care providers to detect orchestrated fraud schemes
• Build behavioral profiles of legitimate vs. fraudulent claim submission patterns
• Develop anomaly identification systems for provider practice trends and claimant care utilization behaviors

Healthcare Claims Analytics

• Predict improperly billed claims based on FWA pattern detection
• Risk score claims based on claim, PA, provider, member and other datasets
• Build validation systems for medical necessity determinations and benefit eligibility criteria

Member & Provider Risk Scoring

• Develop risk scoring models to detect high risk members and providers

Required Qualifications

Education and Experience:

• PhD or MS Bioinformatics, Computer Science, Clinical Research, or related quantitative field
• 5-10+ years of experience in healthcare analytics or related field

Technical Skills

• Expert-level proficiency in coding languages such as C, C++, Python, R
• Hands on experience in developing AI/ML models
• Advanced statistical modeling and machine learning expertise
• Experience with unsupervised learning, anomaly detection, and imbalanced classification problems
• Experience with model validation, performance monitoring, and regulatory compliance frameworks
• Experience with time series analysis, survival analysis, and longitudinal data modeling
• Proficiency with graph analytics, sequence mining, network analysis, and behavioral pattern recognition

Domain Expertise

• Knowledge of healthcare delivery systems
• Knowledge of medical coding systems (ICD-10, CPT, HCPCS) and healthcare reimbursement models
• Understanding healthcare fraud typologies and detection methodologies

About the Company

Novacis Digital (https://www.novacisdigital.com) is fast growing digital transformation solution provider with strong specialization in next generation web, digital and artificial intelligence solutions, primarily focused on the Healthcare and Government market. Novacis caters to federal and state government agencies, insurance companies and commercial enterprises.

We are actively seeking professionals to work on long-term projects for federal and state government agencies, developing and implementing innovative, enterprise digital solutions.

Job Type: Full-time

Pay: $125,000.00 - $150,000.00 per year

Benefits:

• 401(k)
• Health insurance
• Paid time off

Application Question(s):

• Willingness to obtain a Public Trust Clearance
• Are you a Green Card holder or a U.S. Citizen? (mandatory response; will not accept EAD/F1 OPT due to federal government contractual requirements of position)

Education:

• Bachelor's (Required)

Experience:

• Data Science: 10 years (Preferred)

Language:

• English (Required)

Work Location: Hybrid remote in Gaithersburg, MD 20878