Doctors are overworked, burnt out, and are quitting in masses.
At Freed, we combine clinician love with the latest AI tech and intense execution to create products that make clinicians happier.
Our first product is an AI scribe that automates medical documentation.
Since May of 2023, we have:
Acquired 26,000 paying and loving clinicians
Generated 100,000 patient notes daily and over 3 million monthly
With the backing of Sequoia Capital and other world-class VC’s, we are rapidly expanding our product offering. Patient-facing assistants, patient insights, EHR integrations, and other products are being built and used by thousands of clinicians every day.
We are looking for entrepreneurs. Fast, ambitious, and smart individuals who want to take care of the people who care for our health. Expect intense, clinician-focused, and interesting co-workers who want to win.
With an office in San Francisco, we embrace a hybrid schedule that brings out the best in teamwork and innovation. Our teams come together in person three days a week to collaborate, connect, and have a little fun along the way.
We’re looking for a Data Analyst to join our growing Product team and support our data-driven culture. In this role, you will work directly with product managers, engineers, data analysts, and business stakeholders to harness data and empower teams to make faster and better decisions.
This role focuses on execution, and you’ll uncover and deliver insights, build dashboards, track metrics, design experiments, and analyze results to drive decisions. You’ll work closely with our product teams; understand context, users, and goals; and actively contribute to Freed’s mission of improving clinician happiness.
We’re seeking someone who thrives in a collaborative, fast-paced environment, has a sharp analytical mindset, and can turn data into actionable recommendations.
Guide our teams to make better decisions with data
Create metrics, dashboards, and experiments that give us a better understanding of our product and clinician behaviors
Partner with stakeholders to translate their needs into clear analysis and insights
Collaborate with engineers to improve data models, transparency, and accessibility
Deliver repeatable, scalable, self-serve solutions instead of one-off deliverables
2-4 years of professional experience in data analytics or a related field.
High proficiency in SQL and data visualization tools.
Comfort with scripting languages for data analysis (Python, R).
Strong understanding of experiment design and A/B testing.
Strong collaboration, communication, and ability to turn findings into recommendations.
A proactive, independent work style and strong prioritization skills.
Ability to wrangle messy startup data and work through high ambiguity.
Deep curiosity, attention to detail, and bias towards action.
Experience with product data in healthcare settings and/or consumer apps
Competitive salary and equity in a high-growth company
Opportunity to make an immediate impact
Medical, dental, and vision coverage
Unlimited paid time off
Company-sponsored annual retreats
401(k) plan to support your long-term financial goals
Commuter stipend for our San Francisco based employees
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Bring the joy back to medicine
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