Verana Health

HQ
San Francisco
Total Offices: 3
121 Total Employees
Year Founded: 2018

Verana Health Benefits Overview

Compensation + Benefits

Offers 401(K)

Provides a pension

Offers life insurance

Offers occupational accident insurance

Offers company equity

Offers employee stock purchase plan

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Career Growth + Development

Provides customized development tracks

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Offers paid volunteer time

Provides paid sick days

Company Culture

Provides free snacks and drinks

Recently posted jobs

5 Days AgoSaved
In-Office
Knoxville, Town of Knox, NY, USA
Healthtech • Software
Conduct observational real-world data studies for life sciences clients using EHR and claims data. Develop statistical analysis plans, execute analyses, create research algorithms, and contribute to publications. Lead client calls as the scientific authority, translate clinical questions into analytics requirements, and collaborate with commercial, medical, product, engineering, and sales teams. Apply biostatistical and epidemiological methods across therapeutic areas including oncology, ophthalmology, and urology.
5 Days AgoSaved
In-Office
San Francisco, CA, USA
Healthtech • Software
Design, develop, and maintain scalable APIs, backend services, user interfaces, and business applications. The role includes cloud infrastructure and CI/CD optimization using AWS, Docker, and Kubernetes; application security; testing; observability; Agile collaboration; and mentoring junior engineers. The engineer will independently drive solutions from design through production while applying modern system design, database, microservices, and AI-assisted development practices.
10 Days AgoSaved
In-Office or Remote
San Francisco, CA, USA
Healthtech • Software
Lead and manage a team developing and operationalizing machine learning systems for structured and unstructured clinical data (EHR, text, imaging). Define technical strategy, oversee model lifecycle management, fine-tune and deploy foundation models, ensure data quality and model governance, partner cross-functionally, and mentor ML scientists and technical leaders.