Top Healthtech Data & Analytics Jobs

Designs scalable data, analytics, and AI capabilities supporting operational decision-making, initially focused on service supply chain. Partners with business, engineering, architecture, analytics, and AI teams to translate business problems into reusable data products, semantic models, governed metrics, and technical architectures. Leads solutions across SAP, o9, Snowflake, data pipelines, data quality, governance, knowledge graphs, and self-service analytics while providing architectural guidance and influencing cross-functional stakeholders.

Designs, builds, and operates production data pipelines supporting AI-enabled engineering workflows. Owns data curation, indexing quality, pipeline reliability, schemas, governance, metadata, lineage, and data-quality controls. Partners with AI, IT, and engineering teams to integrate systems such as Windchill, Jira, GitLab, and AWS. Supports retrieval-augmented generation, agentic workflows, evaluation harnesses, and production scaling in a regulated medical-device R&D environment.

Designs, develops, and maintains Power BI reports, dashboards, DAX measures, and semantic models. Ensures data accuracy, metric consistency, report usability, access control, and row-level security. Partners with stakeholders to gather requirements, validate reporting, resolve data discrepancies, and support report rollout and training. Administers Power BI workspaces, apps, refresh schedules, documentation, and usage tracking while exploring AI and automation opportunities.

Analyze e-commerce sales, inventory, pricing, availability, competitive, and marketplace data to identify growth opportunities. Convert performance trends into actionable commercial recommendations, improve recurring reporting, and support account management for Amazon and other third-party e-commerce partners. Coordinate assortment, promotions, pricing, and operational execution with sales, marketing, supply chain, and finance teams. The hybrid Philadelphia role requires approximately 10–20% domestic travel.

Coordinates Oracle EPM Cloud data governance, metadata management, integrity reviews, reconciliations, restatements, reporting controls, audit support, and system enhancements. Partners with Finance, Accounting, IT, and business stakeholders to resolve data variances, document requirements, support SOX compliance, maintain reporting outputs, and improve enterprise financial reporting processes.

Build and maintain scalable data pipelines, models, and platform components for clinical operations and specimen management. Develop governed Databricks and Delta Lake solutions, optimize performance and interoperability, and enable self-service data discovery. Create GenAI and LLM applications using RAG, vector embeddings, Mosaic AI, and MLflow. Partner with clinical, data, and business teams to deliver production-grade solutions, documentation, governance, and technical mentorship.

Implements healthcare data exchange and integration projects, gathering technical requirements, organizing and transforming large datasets, developing integration infrastructure, configuring and testing client interfaces, deploying production integrations, and documenting processes. The role works with ETL, relational databases, HL7, XML, JSON, Mirth, APIs, secure connectivity, AWS S3, and data tokenization. Periodic travel, on-call support, and occasional evening, weekend, or holiday work may be required.

Build and lead enterprise data capabilities for a global biotechnology company. Design data architecture, pipelines, APIs, integrations, governance, master data management, analytics, and AI foundations across commercial, R&D, technical operations, quality, and corporate functions. Lead a high-performing team, deliver self-service reporting, partner with technology and business stakeholders, manage vendors, and ensure data security, quality, privacy, and regulatory compliance.

Paid onsite internship focused on building data pipelines, ingestion frameworks, ETL infrastructure, and AI-driven data tools on Google Cloud Platform. The intern will support data governance, orchestration, automation, analytics infrastructure, and LLM-based workflows while collaborating with data engineering, AI, and analytics professionals in a healthcare setting.

Develops and maintains end-to-end business intelligence solutions, including Power BI reports, dashboards, semantic models, DAX measures, database queries, and automated workflows. Supports database deployment, maintenance, data quality, system upgrades, helpdesk requests, ad hoc analysis, documentation, and user training. Collaborates with stakeholders to translate business needs into accurate data solutions and modernizes legacy reporting systems.