SP Patient Data Aggregation SME (1216)

Axtria • Berkeley Heights, NJ

76d • $98,250 - $136,500

About The Position

Founded in 2010, Axtria is a leading global provider of cloud software and data analytics solutions specifically tailored for the life sciences industry. We empower life sciences companies to reimagine their product commercialization journey, driving sales growth and enhancing patient healthcare outcomes. Our work impacts millions of patients worldwide, and our passionate commitment to innovation and healthcare excellence fuels our success. At Axtria, technology innovation is our key differentiator. We continue to outpace the competition by integrating Artificial Intelligence (AI) and Machine Learning (ML) into our cloud-based platforms—Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™. These platforms enable efficient data management, deep data-driven insights, and seamless management of end-to-end commercial operations. With a global footprint spanning over 30 countries, Axtria is recognized as one of the largest and most trusted commercial solutions providers for the life sciences sector. We are proud to be consistently featured on prestigious lists such as INC 5000, Deloitte FAST 500, NJBIZ FAST 50, SmartCEO Future 50, and the Red Herring 100 for growth and innovation.

Requirements

• Bachelor's degree in Life Sciences, Data Science, Informatics, Computer Science, or related field
• 5+ years of experience in managing patient-level data, real-world evidence, or commercial analytics in Life Sciences / Healthcare
• Strong familiarity with data integration, ETL, data pipelines, and data quality frameworks
• Experience with data tools/platforms (SQL, Python, data warehouses, cloud, API integrations)
• Deep understanding of patient data sources (claims, EMR/EHR, registry, digital health, etc.)
• Experience setting up and managing data governance, master patient data logic, and stewardship
• Excellent stakeholder management skills—able to engage commercial, analytics, IT, and client teams
• Knowledge of regulatory constraints around patient data, privacy, and consent

Nice To Haves

• Master's degree or higher in relevant domain
• Experience working in consulting / analytics firms supporting Life Sciences clients
• Experience with cloud data platforms (Snowflake, AWS, Azure)
• Familiarity with commercial data domains (e.g. patient services, adherence, HCP-patient linking)
• Experience managing small teams (3-10) or vendor relationships

Responsibilities

• Develop and execute a roadmap for patient data management, aligned with commercial analytics strategy and client objectives
• Define, enforce, and monitor data quality rules, cleansing procedures, and standard operating procedures (SOPs) for patient data
• Lead integration of patient data from multiple sources (e.g. enrollment, claims, EMR, HCP interactions, digital channels) into a master patient data environment
• Ensure data synchronization and consistency across systems and touchpoints
• Lead a team of data stewards / data quality analysts responsible for identifying, investigating, and resolving data anomalies or discrepancies
• Collaborate with IT, product, and analytics teams to design and build data pipelines, ETL, and APIs for patient-level data
• Support vendor/third-party data partners (e.g. data providers, aggregators) with data contracts, quality KPIs, and issue escalation
• Work with legal/compliance to ensure patient data privacy, HIPAA/GDPR compliance, and consent management
• Act as liaison to clients, explaining data issues, tradeoffs, and recommending enhancements
• Monitor and report on data KPIs, data quality metrics, and progress of data initiatives
• Stay current on industry best practices, patient-level data technologies, and regulatory trends

Benefits

• Salary range for this position is $98,250 to $136,500 annually
• The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data
• The salary may also be adjusted based on applicant's geographic location

What This Job Offers

• Job Type: Full-time
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree