Job Description

Join Us in Powering the Future of Life Sciences with Data & AI

At Fipsar, we are redefining data management and analytics for the life sciences industry. We don’t just build data platforms - we transform how organizations harness data to accelerate drug development, optimize commercial and clinical data operations, and drive AI-powered insights.

Location: Hillsborough, NJ

Employment Type: Full-Time

Job Title: Biopharma Commercial Data Operations Lead – Patient Services

We are seeking a Biopharma Commercial Data Operations Lead – Patient Services to join our growing team. The ideal candidate will have strong expertise in Biopharma Commercial Data Operations and related Salesforce technologies.

Key Responsibilities:

• Assess and document the current data flow and discrepancies between Salesforce Health Cloud, Data Warehouse, and Qlik BI reporting .
• Own and maintain the daily scorecard and data reconciliation report , capturing key data issues reported by the offshore monitoring team .
• Coordinate with data vendors and application owners to resolve data discrepancies and provide business clarifications.
• Automate the data reconciliation report generation and implement quality rules to proactively identify and resolve issues.
• Develop and execute a strategy to streamline operations , enhancing efficiency and business continuity.

Qualifications & Skills:

• Prior experience or knowledge in specialty pharmacy data and pharma commercial operations is required .
• Strong understanding of biopharma patient services operations and associated data processes.
• Proficiency in data analysis, data quality, and reconciliation processes .
• Ability to work cross-functionally with offshore teams, data vendors, and business stakeholders .
• Hands-on experience with automation and data validation methodologies .
• Knowledge of Salesforce Health Cloud, Data Warehousing, and BI tools (Qlik) is a plus.
• Strong communication and problem-solving skills .

This is an onsite role , requiring close collaboration with business and technical teams to ensure the integrity and accuracy of patient services data.

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