Full-Time

Training Specialist

Medical Review Audit, Clinical RN

Updated on 9/4/2026

Machinify

Machinify

1,001-5,000 employees

AI-driven healthcare operations optimization platform

No salary listed

Remote in USA

Remote

Bachelor's, Master's

Category
Training (2)
,
Required Skills
Microsoft Office
Nursing
Word/Pages/Docs
Data Analysis
Excel/Numbers/Sheets
PowerPoint/Keynote/Slides

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Requirements
  • Deep working knowledge of inpatient psychiatric facility payment and documentation requirements, including IPF PPS, qualifying psychiatric diagnoses and DSM-5 criteria, medical necessity standards, physician certification, treatment plan and daily progress note standards, safety assessment documentation, and ECT add-on billing.
  • Strong command of inpatient rehabilitation facility coverage and documentation requirements, including IRF PPS, qualifying conditions under the 60%/75% compliance rule, pre-admission screening, IRF-PAI completion timelines, the 3-hour therapy rule and exceptions, interdisciplinary team conference documentation, FIM scoring context, and CMG assignment.
  • Ability to distinguish and articulate medical necessity criteria across inpatient psychiatric versus PHP/IOP and IRF versus SNF levels of care, and train auditors to apply those distinctions accurately and consistently.
  • Proficiency with ICD-10-CM/PCS coding for inpatient psychiatric and rehabilitation claims, with working knowledge of DRG and CMG assignment logic.
  • Demonstrated ability to design and deliver adult learning programs with measurable, documented outcomes in a clinical or healthcare audit production environment.
  • Proficiency with instructional design principles, needs assessment methodology, and learning evaluation frameworks such as the Kirkpatrick model.
  • Experience developing and managing training content in a Learning Management System.
  • Strong data interpretation skills, including analysis of QA results, audit accuracy metrics, and appeals data to assess training effectiveness and identify gaps.
  • Familiarity with utilization management tools such as MCG or InterQual, particularly criteria applicable to inpatient psychiatric and rehabilitation level-of-care determinations.
  • Proficiency in Microsoft Office Suite, including intermediate to advanced PowerPoint, Word, and Excel.
  • Clear, precise communication skills for translating technical clinical and billing content for audiences with varying levels of experience.
  • An active, unrestricted nursing license in good standing is required, and the candidate must not be sanctioned or excluded from the Medicare program by OIG.
  • A bachelor's degree in Nursing, Health Information Management, Education, or a related field is required.
  • At least 3 years of direct experience performing medical record audits in post-acute claims, including IPF and/or IRF, Home Health, or DME claims, in a payer or similar audit organization is required.
  • At least 3 years of experience developing and delivering clinical or healthcare training programs with documented, measurable outcomes; remote learning delivery is required.
  • Demonstrated experience identifying training gaps from performance data and implementing remediation programs with evidence of improvement.
Responsibilities
  • Design, build, and maintain comprehensive training curricula for clinical audit nurses and audit associates covering post-acute claim review, documentation requirements, medical necessity criteria, coding, and payer policy.
  • Develop structured training programs, job aids, reference materials, and assessment tools for new-hire onboarding, ongoing competency, performance improvement, and new program implementations.
  • Translate complex clinical, regulatory, and payer-specific requirements into clear, audit-ready training content, including IPF PPS, IRF PPS, DSM-5 diagnostic criteria, level-of-care distinctions, facility-specific billing rules, and other relevant training.
  • Maintain and update training materials continuously to reflect changes in CMS payment rules, LCD/NCD policy, coding guidelines, and client-specific requirements affecting IPF and IRF audits.
  • Build and manage training content within the Learning Management System and ensure materials are current, accessible, and structured for effective delivery in a remote environment.
  • Plan, coordinate, and deliver new-hire training and ongoing education through one-to-one, small-group, and virtual-classroom formats.
  • Track and report training completion, assessment scores, and post-training performance metrics, including audit accuracy, QA results, and appeals outcomes; use data to evaluate program effectiveness and drive continuous improvement.
  • Identify training gaps through QA results, audit performance data, appeals trends, and direct observation; develop and execute targeted remediation plans.
  • Conduct User Acceptance Testing on new audit platform workflows and reporting enhancements, and incorporate findings into training materials before go-live.
  • Deliver training on new client implementations, new audit programs, and updated audit concepts in coordination with operations and management.
  • Serve as the primary subject matter authority for IPF audit training, including inpatient psychiatric medical necessity criteria, qualifying DSM-5 diagnoses, physician certification and attestation requirements, daily progress note standards, treatment plan documentation, safety and risk assessment requirements, and ECT add-on billing under IPF PPS.
  • Serve as the primary subject matter authority for IRF audit training, including the 60%/75% compliance rule and qualifying conditions, pre-admission screening, post-admission physician evaluation timelines, IRF-PAI completion requirements, 3-hour therapy rule documentation and exceptions, weekly interdisciplinary team conference requirements, individualized plan of care standards, and CMG assignment logic.
  • Maintain current working knowledge of IPF PPS and IRF PPS payment rules, ICD-10-CM/PCS coding applicable to inpatient psychiatric and rehabilitation claims, DRG and CMG assignment, and mental health parity compliance requirements.
  • Monitor changes to CMS regulations, LCD/NCD coverage criteria, coding guidelines, and clinical standards; proactively update training content and communicate changes to audit staff.
  • Provide consultative input on audit platform requirements, workflow design, and business rule development as they relate to IPF and IRF audit processes.
  • Partner with operations management, QA, and compliance to align training programs with business objectives and client contractual requirements.
  • Support management in documenting workflows and process improvement plans, and contribute to training-related components of new concept implementation.
  • Provide input on training scheduling to ensure delivery meets operational timelines, legal requirements, and contractual obligations.
Desired Qualifications
  • A master's degree in Nursing, Education, Health Informatics, or a related field.
  • AHIMA or AAPC coding certification, such as CPC, CCS, CCS-P, RHIT, or equivalent.
  • Direct clinical experience in an inpatient psychiatric or inpatient rehabilitation setting, reflected in the candidate's nursing background rather than only audit history.
  • Clinical background in inpatient psychiatric nursing, including familiarity with psychiatric assessment tools such as PHQ-9 and the Columbia Suicide Severity Rating Scale, treatment planning, and level-of-care criteria.
  • Clinical background in inpatient rehabilitation nursing, including familiarity with FIM scoring, functional goal-setting, and IRF care coordination.
  • Experience with mental health parity compliance review or behavioral health utilization management in a payer or audit context.
  • Prior experience in a RAC, MAC, TRICARE, or commercial payer audit environment focused on inpatient facility claims.
  • Experience conducting User Acceptance Testing on audit platform or reporting system enhancements.
  • Experience contributing to provider education, audit edit development, or medical policy improvement for IPF or IRF programs.
  • Experience with curriculum development or e-learning authoring tools.

Machinify uses artificial intelligence to optimize decision-making in healthcare. It provides AI-driven applications that improve operational efficiency for health plans, payers, and providers, acting as a central nervous system to manage data-driven decisions. Its products streamline processes like claims processing and utilization management by deploying a growing portfolio of applications on the Machinify platform, designed for fast implementation and immediate ROI. Differences from competitors include an AI-first platform tailored to healthcare administration, a rapid deployment model, and a customer-focused approach that aims to deliver tangible results quickly. The company’s goal is to transform healthcare administration by reclaiming control over healthcare expenditures and improving efficiency and patient outcomes through data-driven decisions.

Company Size

1,001-5,000

Company Stage

Series A

Total Funding

$15.6M

Headquarters

Palo Alto, California

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • July 2026 genetic testing launched with one Medicaid program finding $70 million savings.
  • Machinify now serves over 85 health plans and 270 million lives, per company materials.
  • Performant's October 2025 acquisition expands Machinify into government programs and broader recovery revenue.

What critics are saying

  • Axios reported July 24, 2026 that New Mountain Capital is shopping Machinify.
  • Rawlings, Apixio PI, and Performant integration still tests one brand and one operating model.
  • Audit-heavy payment recovery antagonizes providers, inviting appeals, scrutiny, and slower deployments.

What makes Machinify unique

  • Machinify spans prepayment, postpayment, recovery, and benefits coordination across payers.
  • Its July 2026 genetic-testing engine embeds InformedDNA expertise into payer policy workflows.
  • The October 2025 Performant deal fused AI software with audit-recovery operations and government access.

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Benefits

Medical, dental, & vision

Flexible work environment

Generous PTO

Competitive salary

Equity

401(k)

Sponsorship

Generous L&D Reimbursement policy

Growth & Insights and Company News

Headcount

6 month growth

11%

1 year growth

14%

2 year growth

-2%
IT Digest
Jul 14th, 2026
Machinify adds genetic testing expertise to its comprehensive payment intelligence platform.

Machinify adds genetic testing expertise to its comprehensive payment intelligence platform. Machinify announced a new genetic testing capability, extending the platform's intelligence into one of healthcare's fastest-growing and most clinically complex specialties. The expansion represents another step in applying Machinify's AI to increasingly sophisticated healthcare payment decisions, helping health plans address areas that have outpaced traditional payment integrity approaches. Genetic testing represents one of the fastest-growing and most clinically nuanced areas of healthcare, with more than 150,000 tests on the market today and more than 10 new ones introduced daily. The pace of innovation, combined with evolving evidence, coding structures, payer policies, and coverage requirements, makes the category particularly difficult to manage at scale. The capability builds on Machinify's acquisition of InformedDNA's genetic testing payment integrity business, encoding decades of specialized genetic testing review expertise directly into the Machinify platform. By combining AI with deep clinical expertise, Machinify enables health plans to make more informed decisions throughout the payment lifecycle, whether preventing incorrect payments before they occur or identifying overpayments downstream. "Precision medicine is generating more clinical complexity than any human review organization can keep up with, and genetic testing is the sharp edge of that," said David Pierre, CEO of Machinify. "We didn't build a genetic testing tool. We taught our AI to reason about genetic testing the same way it already reasons about the rest of the claim, with deep human expertise built in. That's the whole idea behind Machinify: as healthcare gets more complex, machine intelligence keeps the lead because every decision makes the next one smarter. That's how we bend the cost curve." The platform applies a specialized genetic testing knowledge base alongside each payer's medical policies to evaluate claims within their full clinical and contractual context. Grounded in Machinify's experience supporting Medicare, Medicaid, and commercial health plans, the models are developed, validated, and continuously governed by the company's board-certified geneticists and clinical experts. Every determination is transparent, defensible, and fully auditable. The approach is already delivering measurable results. In one Medicaid program, the capability identified more than $70 million in savings across reproductive and pharmacogenomic testing while improving the accuracy of payments for these services going forward. "Specialty areas like genetic testing are more important than ever; the science is evolving daily, and the spend has accelerated dramatically," said Tom Magnotta, President of Complex Payment Solutions at Machinify. "We are actively investing in and expanding our content on the platform. Genetic testing is just one of many areas where Machinify is deploying solutions to solve complex challenges for our clients using an AI-first approach." The genetic testing solution is available now to Machinify clients through the platform's real-time pre-payment solution or as a post-payment extension where retrospective recovery is required.

Associated Press
Jul 13th, 2026
Machinify adds genetic testing AI to payment platform, finds $70M in Medicaid savings

Machinify has launched a genetic testing capability on its payment intelligence platform for health plans. The expansion follows the company's acquisition of InformedDNA's genetic testing payment integrity business. The new capability uses AI combined with clinical expertise to help health plans manage payment decisions for genetic testing, one of healthcare's fastest-growing areas with over 150,000 tests currently on the market and more than 10 new ones introduced daily. The platform applies a specialised knowledge base alongside payer medical policies to evaluate claims. In one Medicaid programme, the capability identified over $70 million in savings across reproductive and pharmacogenomic testing. Machinify's platform is deployed by over 85 health plans, including many of the top 20, representing more than 270 million lives.

Dallas Next
Oct 21st, 2025
Dallas-Based Machinify Closes $670M Acquisition of Nasdaq-Listed Performant Healthcare

Dallas-Based Machinify closes $670M acquisition of nasdaq-listed Performant Healthcare. Machinify said that bringing together Performant's deep audit and recovery expertise with Machinify's advanced AI platform will enable the company to deliver faster, more accurate insights, further reduce administrative burden, and unlock greater savings for health plans. Left: Machinify CEO David Pierre; Right: Simeon Kohl, CEO of Performant Healthcare [Photos: LinkedIn/Performant] Dallas-based healthcare intelligence company Machinify has closed its acquisition of Plantation, Florida-based Performant Healthcare (Nasdaq: PHLT) for roughly $670 million. Machinify said the deal expands its AI-powered platform to reach a broader range of clients, including government programs, and accelerates its mission to simplify and modernize healthcare payments. With the acquisition, the New Mountain Capital-backed company closed its second major acquisition in 2025 to expand its AI-powered operating system to a broader range of clients. "We're thrilled to bring Performant into Machinify with such highly complementary assets," Machinify CEO David Pierre said in a statement. "Performant has built deep relationships in the government sector, which expands on Machinify's strong and expanding presence with national and regional payers. Together, we can offer our clients the most complete, data-driven platform for ensuring every healthcare dollar is used effectively." Machinify said that combining Performant's deep audit and recovery expertise with Machinify's advanced AI platform will enable the company to deliver faster, more accurate insights, further reduce administrative burden, and unlock greater savings for health plans. The integration enhances Machinify's ability to serve commercial and government payers with end-to-end intelligence, Machinify added, spanning claim error detection, prevention, recovery, and coordination of benefits. 'Supporting better outcomes' Performant CEO Simeon Kohl will remain with the company, joining the Machinify leadership team. Kohl said the acquisition comes at a key time in the industry. "I'm excited to join forces with Machinify at such a pivotal moment for the industry," Kohl said. "By combining our deep expertise with Machinify's AI platform, we'll be able to deliver even greater value to our clients - streamlining the payment process, improving accuracy, and supporting better outcomes across the healthcare system." "Performant strengthens Machinify's leadership as the next-generation platform for payment accuracy and intelligence," Matt Holt, managing director and president of private equity at New Mountain Capital, said in a statement. "This strategic integration aligns with Machinify's mission to make payments smarter, faster, and more transparent. We're excited about the significant value it will unlock for payers, providers, and the entire healthcare ecosystem." With the addition of Performant, Machinify said it now supports hundreds of millions of claims annually and delivers billions in savings through its unified AI and human-expertise model - helping clients reduce waste, improve provider relationships, and ensure accuracy from contracts to claims. Performant's shares will no longer be publicly traded and will be delisted from Nasdaq, as the company will now operate as a privately held entity. New York-based New Mountain Capital emphasizes business building and growth, rather than excessive risk, as it pursues long-term capital appreciation. The firm currently manages private equity, strategic equity, credit, and net lease real estate funds with more than $55 billion in assets under management. Track Dallas-Fort Worth's business and innovation landscape with its curated news in your inbox Tuesday-Thursday. R E A D N E X T. * AI Tinkerers Now Has a Dallas-Fort Worth Chapter: 'This Is for People Who Are Actually Using AI' Data scientist Anmolika Singh put Dallas on the global AI Tinkerers map. At the first meetup, more than 30 pros - founders to Fortune 500 technologists - showed up to trade ideas, projects, and solutions. * UT Dallas Study Tests AI as a Triage Tool in Breast Cancer Screenings Rather than replace radiologists, UTD researchers say AI could help flag low-risk mammograms for automated review. The approach could cut costs and ease delays as cancer rates rise and the diagnostic workforce shrinks. * With $4M Pre-Seed Funding, North Texas' Humancore Launches 'Multiplayer AI Advisor' Platform Plano-based Humancore describes its Multiplayer platform as an AI advisor that goes beyond traditional coaching and generic prompts by understanding not just the manager, but also their team. * Is Your Organization Ready for AI? Key Considerations to Assess AI Readiness Avoid common pitfalls with practical insights from guiding Fortune 500 companies through AI adoption * Caring for Its Elders, Intelligently: How Technology Can Bring Ease, Connection, and Better Health to Aging Americans Dallas is aging faster than ever, with seniors facing rising challenges of isolation, health, and care. Technology, when designed with empathy, can bridge these gaps - connecting families, empowering caregivers, and enabling prevention. By building tools with empathy, Dallas Next LLC can transform elder care from survival to peace of mind and joy.

Business Wire
Aug 2nd, 2025
Performant Healthcare, Inc. to Be Acquired by Machinify

Performant Healthcare, Inc. (Nasdaq: PHLT) (the “Company” or “Performant”), a leading provider of technology-enabled payment integrity, eligibility, and rela...

PE Hub
Jan 10th, 2025
New Mountain Capital to acquire healthcare tech firm Machinify

New Mountain Capital has agreed to acquire Machinify, a Palo Alto, California-based provider of artificial intelligence-powered software focused on healthcare payments.