What are the responsibilities and job description for the Biopharma Client Solutions Expert position at Fipsar Inc?
Fipsar Inc is a leader in AI/ML and data analytics consulting, serving top biopharma clients. Our team is collaborative, innovative, and passionate about making a difference in the life sciences industry.
We are seeking a highly skilled Client-Facing Pharma/Biotech Commercial Business Analyst to join our team. The ideal candidate will have experience working in the biopharma industry, specifically in supporting patient services operations, and be adept at data reconciliation, reporting, and analytics.
The Commercial Business Analyst will be responsible for understanding client needs, gathering business requirements, and documenting it for the data analytics projects.
Responsibilities:
- Act as the primary point of contact between biopharma commercial stakeholders and our technical teams.
- Support Patient Services Operations: Provide daily operational support to the Patient Services Team, ensuring smooth workflows and data integrity for patient support services.
- Data Reconciliation: Perform routine data reconciliation tasks, ensuring that all data between internal systems and external partners align and are accurate.
- Reporting and Insights: Generate regular reports for the Patient Services Team, ensuring timely delivery of data related to patient enrollment, assistance program tracking, and other key metrics.
- Data Quality Assurance: Review and validate data from multiple sources to ensure completeness and accuracy, troubleshooting any discrepancies to ensure high-quality datasets for decision-making.
- Stakeholder Collaboration: Act as the main point of contact for patient services teams, working closely with both business and technical teams to ensure data integrity and resolve issues promptly.
- Operational Support: Assist with the management and optimization of patient data workflows and processes to ensure they are aligned with the client's business goals.
- Continuous Improvement: Identify opportunities to improve data quality, reporting processes, and overall operational efficiencies within the Patient Services function.
