Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.
Our team hails from a broad range of disciplines and is committed to the company’s mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission.
In this role, you will lead high-impact, cross-functional initiatives that shape the evolution of Paradigm’s data platform—partnering closely with product, design, data science, and engineering to deliver scalable, AI-driven solutions. As a senior member of the Data Core team, you’ll own complex projects from concept through production, driving alignment across teams while enabling the platform to scale across new products, therapeutic areas, and global use cases.
What You’ll Receive:
Paradigm Health offers a comprehensive Total Rewards package to support your well-being and success, including:
- Competitive health, dental, and vision insurance
- Mental health support for you and your family through Spring Health
- Equity package
- Unlimited paid time off (PTO)
- 16 weeks of paid parental leave
- Flexible work options – remote and hybrid arrangements
- Company-paid life insurance
- Company-paid short-term and long-term disability coverage
- One Medical membership
- 401(k) plan with company match
At Paradigm, we are committed to providing equal employment opportunities to all qualified individuals. We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions. We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.