Clinical Payments Specialist (Medidata CTMS)

Hvantage Technologies Inc USA

India

Remote

INR 600,000 - 1,200,000

Full time

8 hours ago
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Job summary

Hvantage Technologies Inc USA in India is seeking a Clinical Payments Specialist with 3+ years of international accounting and CTMS experience. You will configure Medidata CTMS budgets to reflect contract terms and payment schedules, and ensure accurate financial reconciliations.

You will verify site invoices against E-CRF/CTA, assist in AP/PO creation, and support audits with SOC 1 standards. Strong Excel skills are essential for data analysis.

Qualifications

  • Educational Background: CA, MBA, or a relevant degree in Finance/Accounting preferred.
  • Experience: Minimum 2-3 years of direct CTMS payments experience, with a heavy focus on budget configuration.
  • 1-2 years of experience in site invoice processing.
  • Total of 4+ years in international accounting or clinical trial finance.
  • Technical Proficiency: Extensive experience with Medidata CTMS and EDC RAVE.
  • Preferred: Familiarity with financial tools like Mineral Tree, Coupa, SAP, or NetSuite.
  • General: Advanced Microsoft Excel skills for complex data analysis.

Responsibilities

  • Medidata CTMS budget configuration and system setup.
  • Ad-hoc items management including site and subject activities within payment system.
  • Oversee trial payments, ensuring accurate reconciliation and detailed payment reports.

Skills

Medidata CTMS
EDC RAVE
Advanced Excel
Financial reconciliation
Stakeholder communication

Education

CA
MBA
Finance/Accounting degree

Tools

Medidata CTMS
EDC RAVE
Mineral Tree
Coupa
SAP
NetSuite

Job description

Job Title: Clinical Payments Specialist (Medidata CTMS)
Location: Remote ( India)
Experience Required: 3+
Employment Type: Full-Time

Role Overview: We are seeking a highly organized and detail-oriented Clinical Payments Specialist with a minimum of 3+ years of experience in international accounting and clinical trial financial systems. A critical requirement for this role is advanced proficiency in Medidata CTMS, specifically regarding budget configuration. You will ensure clinical trial payment systems accurately reflect contract terms and handle complex financial reconciliations in a fast-paced environment.

Key Responsibilities:
1. Medidata CTMS & Budget Configuration
  • System Setup: Manage and execute the budget configuration within Medidata CTMS, ensuring system setups accurately reflect contract terms and payment schedules.
  • Ad-Hoc Management: Add and manage ad-hoc items, including specific site activities and subject activities, within the payment system.
  • Payment Processing: Oversee trial payments, ensuring accurate reconciliation and exporting detailed payment reports for stakeholders.
2. Invoice Verification & Accounts Payable
  • Line-Item Audit: Perform detailed verification of site invoice line-items against the E-CRF (Electronic Case Report Form) and CTA (Clinical Trial Agreement) to ensure 100% accuracy.
  • AP Support: Assist in creating accounts and Purchase Orders (POs) for trial vendors and clinical sites.
3. Compliance & Stakeholder Relations
  • Audit Readiness: Collaborate with Operations and AP teams during audits, ensuring all documentation meets SOC 1 and internal policy standards.
  • Cross-Functional Communication: Act as the primary liaison between the Data Management team, clinical sites, AP teams, and study teams to resolve payment inquiries.
Qualifications:
  • Educational Background: CA, MBA, or a relevant degree in Finance/Accounting preferred.
  • Experience:
  • Minimum 2-3 years of direct CTMS payments experience, with a heavy focus on budget configuration.
  • 1-2 years of experience in site invoice processing.
  • Total of 4+ years in international accounting or clinical trial finance.
  • Technical Proficiency:
  • Required: Extensive experience with Medidata CTMS and EDC RAVE.
  • Preferred: Familiarity with financial tools like Mineral Tree, Coupa, SAP, or NetSuite.
  • General: Advanced Microsoft Excel skills for complex data analysis.
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