Jobs at Prolaio

Serve as the primary sponsor-facing data contact, owning sponsor requirements, DTA management, monthly data deliverable planning and quality control, onboarding, risk identification, and cross-functional coordination to ensure timely, high-quality clinical study data delivery.

Develop and maintain mobile applications for Android, integrating medical device data, optimizing performance, and collaborating with backend teams and data scientists.

Design and govern Prolaio's regulated healthcare data platform: define architectures, models, pipelines, and lifecycle management for clinical, device, claims, and patient-generated data; apply healthcare terminologies and common data models; enable secure, interoperable, AI-ready datasets for analytics, research, clinical operations, and regulated workflows.

Lead enterprise AI strategy and execution to design, pilot, deploy, and scale generative AI, conversational assistants, agentic automation, and AI-enabled workflows across clinical, product, and enterprise systems in a regulated healthcare environment. Align cross-functional teams, define success metrics, and ensure compliance, auditability, and continuous improvement of production AI capabilities.

The Lead Software Quality Engineering, Backend will oversee validation of a cloud-based data platform, lead a team of engineers, and contribute to automation and verification strategies for healthcare technologies.

As a Data Science Intern, you will develop and validate LLM pipelines for extracting clinical endpoints from EHR data, ensuring data quality for clinical analysis.

The Quality Specialist ensures quality control for production components and supplies, performs inspections, and manages complaint records in compliance with QMS.

Lead definition, roadmap, and validation of clinical endpoints for cardiovascular trials, including digital biomarkers, sensor and lab-based measures, and ePRO/eCOA. Select sensors/partners, define raw data capture, work with Data Science and Clinical on biomarker development, ensure regulatory and quality readiness (FDA/EMA, validation frameworks), and engage sponsors to prioritize and deliver trial-ready measures.

Design, build, and maintain scalable backend integration services (Kotlin/Python) connecting healthcare systems, ERPs, and analytics. Own API design, cloud/container deployments (GCP, Docker/K8s), data pipelines into BigQuery/Dagster, monitoring/alerting, and security/compliance (HIPAA, SOC2). Mentor junior engineers and collaborate cross-functionally to ensure reliable, secure data flows.

The Senior Data Scientist will develop risk prediction models and perform statistical analyses on clinical datasets, focusing on digital biomarkers for cardiovascular disease. Responsibilities include data pipeline development, cross-team collaboration, and scientific publications.