Prolaio

HQ
Chicago
82 Total Employees
Year Founded: 2022

Prolaio Offices

Prolaio is headquartered in Chicago.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ
Chicago

Chicago, IL

Chicago, IL, United States

Recently posted jobs

11 Days AgoSaved
Easy Apply
Hybrid
Chicago, IL, USA
Easy Apply
Artificial Intelligence • Big Data • Healthtech • Mobile • Wearables • Analytics
Manage Prolaio’s full contract lifecycle, including drafting, reviewing, negotiating, processing, execution, renewals, and terminations. Track obligations, deadlines, risks, and performance metrics; support CLM implementation and process improvements; and serve as a contracting liaison to business leaders, vendors, consultants, clinical sites, and partners. The role also provides contract guidance, supports strategic initiatives, and ensures compliance with laws, regulations, and internal policies.
16 Days AgoSaved
Easy Apply
Hybrid
Chicago, IL, USA
Easy Apply
Artificial Intelligence • Big Data • Healthtech • Mobile • Wearables • Analytics
Design, build, and operate batch, streaming, and hybrid data pipelines in a regulated healthcare environment. Develop dbt models in BigQuery, ingest structured and unstructured clinical data, and implement data quality, lineage, governance, and compliance controls. Support ML workflows, CI/CD, monitoring, incident response, and platform architecture. Collaborate with data scientists, clinical, quality, security, and product teams while mentoring engineers and establishing standards.
23 Days AgoSaved
Easy Apply
Hybrid
Chicago, IL, USA
Easy Apply
Artificial Intelligence • Big Data • Healthtech • Mobile • Wearables • Analytics
Develop and automate comprehensive tests for data pipelines, ETL/ELT processes, and cloud data platforms. Validate data quality, transformations, performance, scalability, and time-series biosensor outputs. Build synthetic datasets that replicate production data, identify anomalies and bottlenecks, and improve testing frameworks. Collaborate with data engineers and scientists to ensure reliable data throughout the lifecycle supporting regulated software-as-a-medical-device products.