
CARE FOR ALL. It’s not just a motto. It’s Antidote’s purpose, our business model – and our ethos. Why? In the U.S. alone, more than 82 million people don’t have adequate health insurance. That is…

CARE FOR ALL. It’s not just a motto. It’s Antidote’s purpose, our business model – and our ethos. Why? In the U.S. alone, more than 82 million people don’t have adequate health insurance. That is…
Business: Telehealth + affordable insurance (virtual primary care with AI-assisted workflows)
Mission: Expand access to affordable, community-focused healthcare
Founding team: Co‑founders include Ben Enosh, Carine‑Belle Feder, Avihai Sodri, David Zlotnick
Funding signal: Multiple seed rounds and a reported $22M Series A (Mar 2022)
Access to affordable, quality everyday healthcare for underserved and underinsured populations.
Hospitals and Health Care
$1.0M
$4.2M
$2.0M
$5.0M
$22.0M
$1.0M
Reported investor and brand ambassador involvement by Giannis Antetokounmpo
“Backers reported to include Flint Capital, Welltech Ventures, and individual investors including Giannis Antetokounmpo”
Job Title: Data Analyst @ Antidote Health
Company Description
Antidote Health is a startup on a mission to create a smart, digital, and AFFORDABLE HMO in the US. We are developing comprehensive health solutions, encompassing both medical services and health insurance, with a focus on reducing healthcare costs through proactive member health management.
Our product is designed to make it easy for members to manage their health. They can schedule video calls with our doctors, receive prescriptions and referrals for labs or specialists directly from the app, track test results, and much more. We have also built a decision support system for our physicians, leveraging data to provide insights to both patients and doctors in order to promote preventive care.
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We are seeking a highly experienced Data Analyst (10+ years of industry experience) with strong knowledge in Python, SQL, and working within cloud environments—preferably Google Cloud Platform (GCP). The ideal candidate will have a background in healthcare data analysis, with prior experience or education in epidemiology considered a major advantage.
Responsibilities include data extraction, transformation, and visualization to support decision-making and research initiatives. The analyst will collaborate with cross-functional teams to derive insights from complex data sets, ensuring data quality and compliance with healthcare standards.
Key Qualifications
Bachelor’s degree in Computer Science, Information Systems, Statistics, Data Science, Biomedical Engineering, or a related field
Master’s degree is a plus
10+ years of experience as a Data
Analyst
Proficiency in Python and SQL
Experience with cloud platforms (GCP preferred)
Strong analytical and problem-solving skills
Background in healthcare data or epidemiology (strongly preferred)
Familiarity with data visualization tools (e.g., Tableau, Looker)