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Overview
Mid-Level

Decision Scientist

Confirmed live in the last 24 hours

Fractal Analytics

Fractal Analytics

Bengaluru
On-site
Posted March 23, 2026

Job Description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Experience: 6–10 years (techno-functional)

Domain: Medical claims adjudication, edits, payment integrity, denials management

About the Role

Own end-to-end problem solving for claims operations: improve auto-adjudication, reduce rework/denials, and modernize integrations. Partner with business, data, and engineering to deliver measurable gains in first-pass adjudication, throughput, and cost-per-claim.

Key Responsibilities

  • Consulting & Value Realization

  • Lead discovery workshops and quantify value (autoadjudication %, FPY, rework minutes)

  • Define roadmaps, KPIs, operating models, and change plans

  • Claims Domain Execution

  • Analyze adjudication rules, code edits, COB, pricing, bundling/unbundling, medical policy application

  • Design/process 837 (I/P/D) and 835 flows; integrate with payment integrity and audit

  • Reduce denial drivers; align reconsideration/appeal handoffs with provider outreach

  • Interoperability & Data

  • Design EDI X12 interfaces (837/835/276/277) and FHIR-based APIs where relevant

  • Define data quality controls, lineage, and auditability

  • Automation & AI

  • Identify automations (edits tuning, rules orchestration, exception triage)

  • Apply GenAI/NLP for denial reasoning extraction and claim note summarization with HITL

  • Governance & Delivery

  • Backlog management, UAT, benefits tracking, and executive readouts

Must‑Have Qualifications

  • Experience: 6–10 years in US healthcare consulting/solution delivery across payers and/or providers.

  • Domain Depth: Hands‑on with claims adjudication, Membership/prior auth, care management.

  • Compliance: Working knowledge of HIPAA Privacy/Security, PHI/PII handling, audit readiness, data governance.

  • Techno‑Functional: Ability to translate business needs into technical designs across cloud, data, APIs, and interoperability.

  • GenAI/Analytics: Practical experience with GenAI solutioning (e.g., RAG, prompt engineering, evaluation) and classical analytics (segmentation, anomaly detection).

  • Cloud/Data Tools: Exposure to Azure/AWS/GCP, Snowflake/Databricks/BigQuery, SQL/PySpark, ETL/ELT (ADF/Glue), APIs (REST/GraphQL), Kafka.

  • Consulting & BA: Proven proposal/RFP experience, SOW/MSA inputs, stakeholder management, requirements elicitation, UAT planning.

  • Communication: Executive storytelling, workshop facilitation, and cross‑functional influence.

Preferred Qualifications

  • Experience with payment integrity, DRG/APC/fee schedules, pricing engines

  • Exposure to cloud data platforms (Azure/AWS/GCP), Snowflake/Databricks, and BI (Power BI/Tableau)

  • GenAI/RAG exposure for claims documentation and knowledge retrieval

  • Certifications: AHIP, X12/FHIR, HIPAA, Azure/AWS/Databricks

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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