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Advisor Data Sciences

Remote / Online - Candidates ideally in
Montgomery, Montgomery County, Alabama, 36136, USA
Listing for: Gainwell Technologies
Full Time, Remote/Work from Home position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 99200 - 141700 USD Yearly USD 99200.00 141700.00 YEAR
Job Description & How to Apply Below

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Date:
Sep 17, 2026

Location:

Any city, TX, US, 99999

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance.

We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

Summary

As an Advisor Data Sciences, you will provide strategic and technical leadership in designing, implementing, and scaling advanced data mining and AI-enabled analytics solutions that identify improper payments and improve claims accuracy across medical, dental, and pharmacy domains.

This role blends deep healthcare payment integrity expertise, advanced data mining and AI capabilities, and delivery leadership. You will translate complex State, Federal, and client-specific reimbursement policies into scalable analytics, guide cross-functional teams through complex implementations, and ensure successful delivery of high-impact payment integrity solutions for Gainwell clients.

You will act as a content authority, product owner, and delivery leader, partnering with engineering, clinical, operations, and client teams to safeguard healthcare resources for vulnerable populations.

Your role in our mission

Act as Product Owner, Delivery Lead, and Implementation Manager for complex data mining and analytics initiatives.

Design, develop, and implement advanced data mining and AI-driven analytics concepts to identify over payments and improper payments.

Support and lead responses to client RFPs, contributing superior written content related to data mining, AI, and payment integrity capabilities.

Translate complex healthcare regulations, reimbursement methodologies, and clinical policies into scalable audit algorithms and analytic rules.

Lead the incorporation of AI, machine learning, and advanced analytics techniques into payment integrity solutions.

What we're looking for

7+ years of Healthcare Payment Integrity, Data Mining, or Advanced Analytics experience.

Demonstrated experience in healthcare payment integrity data mining, including validation of claims data accuracy and payment accuracy.

Proven experience applying CMS regulations, State/Federal guidelines, coding standards, and reimbursement policies to claims analytics.

Strong experience translating business and policy requirements into technical and analytical solutions.

Hands-on experience with AI/ML-driven analytics, such as predictive modeling, anomaly detection, pattern recognition, or NLP applied to healthcare or financial data.

What you should expect in this role

Fully Remote Opportunity – Work from anywhere in the U.S.

Minimal Travel Required – Occasional travel opportunities (0-10%).

Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.

Video cameras must be used during all interviews, as well as during the initial week of orientation

The Deadline to submit applications for this posting is November4, 2026

The pay range for this position is $99,200.00 - $ per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work ’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible…

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