Wearable Data Science Jobs in Chicago, IL (NOW HIRING)

Job Summary:
Prolaio is focused on transforming heart care through technology and innovation. The Data Architect will shape the healthcare data ecosystem, defining and scaling architectures that support clinical intelligence products and data pipelines for improved patient outcomes.
Responsibilities:
• Define the target-state data architecture and roadmap for Prolaio’s regulated healthcare data platform in support of product, analytics, data science, data services, clinical operations, and quality use cases.
• Architect scalable, secure, and interoperable data platforms that support structured, semi-structured, and unstructured data across clinical, operational, device, and patient-generated sources relevant to Prolaio’s cardiovascular and research mission.
• Lead architecture decisions for storage, compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms.
• Establish architecture standards and reference patterns that support reliability, performance, extensibility, and validated operation in regulated settings.
• Design and govern conceptual, logical, and physical data models for clinical trials, cardiovascular and physiological data, real-world data, claims, medication, socio-economic, behavioral, and related healthcare datasets.
• Apply healthcare terminologies, ontologies, and common data models where appropriate, including standards such as HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, and CDISC.
• Lead efforts to standardize and normalize disparate data sources into governed, reusable, analysis-ready datasets suitable for regulated workflows, clinical research, and product development.
• Architect end-to-end data flows and reusable pipelines for ingestion, validation, transformation, enrichment, publishing, retention, archival, and decommissioning across batch, streaming, and hybrid workloads.
• Define and implement data lifecycle management practices that support retention, access control, traceability, reproducibility, lineage, provenance, and auditability in regulated healthcare environments.
• Design data architectures that enable AI, analytics, and machine learning use cases by supporting feature generation, retrieval workflows, governed access, and production deployment needs.
Qualifications:
Required:
• Bachelor’s degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field.
• Minimum 10 years of experience in healthcare, life sciences, medtech, digital health, or other patient-data-focused environments, including at least 5 years in clinical data, real-world data, clinical trials data, or other patient-centered data platforms.
• Demonstrated experience architecting healthcare data platforms that support structured, semi-structured, and unstructured data in regulated or validated environments.
• Deep understanding of data from cardiology focused wearables devices, claims, socioeconomic, behavioral, and EHR.
• Deep understanding of healthcare data domains, data modeling, standardization, normalization, and the application of healthcare terminologies and common data models.
• Strong experience working in a cross-functional, matrixed organization and partnering effectively with Product, Engineering, Data Science, Analytics, Clinical Operations, Quality, and Security teams, with the ability to operate as a self-starter in a growth-stage environment.
• Strong familiarity with cloud platforms such as GCP, AWS, or Azure and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or comparable environments.
• Experience with ETL or ELT, orchestration, and large-scale data processing tools such as dbt, Airflow, Dagster, Spark, Kafka, Fivetran, Informatica, Talend, or similar technologies.
• Strong SQL and Python skills, with familiarity in APIs, event-driven architectures, interoperability frameworks, and clinical data exchange patterns such as HL7 and FHIR.
• Familiarity with metadata, lineage, catalog, governance, and AI-enablement tools, including platforms for semantic indexing, vectorization, retrieval, and data lifecycle automation.
Company:
Prolaio is a HealthTech company that focuses on prescriptive analytics. It is a sub-organization of Kardigan. Founded in 2022, the company is headquartered in Scottsdale, USA, with a team of 51-200 employees. The company is currently Growth Stage.