AssistRx is seeking a Solutions Engineer (AI) to serve as the technical bridge between clients and their AI-driven data engineering team, ensuring effective implementation, optimization, and adoption of AI augmentation products to simplify patient access and drive better health outcomes.
Requirements
- Advanced SQL skills for data exploration, validation, and transformation.
- Hands-on experience with data warehouse environments (Snowflake, MS SQL Server).
- Understanding of data modeling, normalization, and CRM architectures (Salesforce, Veeva, HubSpot).
- Proven ability to document and communicate data transformation logic clearly and concisely.
- Experience with healthcare data or CRM-based programs, such as: Patient support or specialty pharmacy programs, Nurse or case management systems, Medication therapy management (MTM), Copay and reimbursement workflows, Hub or patient access services.
- Experience working with AI-powered analytics or predictive modeling tools.
- Familiarity with ETL/ELT processes, dbt, or modern data stack tools.
Responsibilities
- Lead technical discovery sessions with clients to assess workflows, CRM data (e.g., Salesforce, Veeva), and backend data systems.
- Develop and execute SQL queries and BI reports to explore, validate, and reconcile client data.
- Design and document data mapping between client objects and internal data models, defining transformation and normalization logic.
- Translate client business requirements into clear, actionable technical specifications for engineering teams.
- Review and validate code outputs and workflow logic to ensure alignment with design requirements and data accuracy.
- Produce technical and client-facing documentation explaining data flow, logic, and solution design.
- Provide quality assurance (QA/QC) oversight for data transformations, ensuring completeness, integrity, and reliability.
Other
- 4–7 years of experience in data integration, analytics, or technical solution delivery, preferably in a client-facing environment.
- Bachelor’s degree in Healthcare Informatics, Data Science, Computer Science, Information Systems, Business Analytics, or related field.
- Skilled at leading technical discussions and translating complex data concepts into business language.
- Comfortable collaborating with both executive stakeholders and data engineers.
- Strong written and verbal communication skills with a client-service orientation.
