
<p>We are new and we are growing, we are an early-stage IT startup based out in the US and India. We are on a mission to help "reveal" the transformative potential of technology in delivering healthcare. We want passionate people like you to join us in the mission and leverage technology in the most innovative way possible to meet our clients' needs by partnering with us.</p><p><br /></p><p>Read more about why we started Reveal Healthtech <a href="https://revealhealthtech.com/insights/why-we-started-reveal-healthtech/" rel="nofollow noreferrer noopener">here</a>. </p>

<p>We are new and we are growing, we are an early-stage IT startup based out in the US and India. We are on a mission to help "reveal" the transformative potential of technology in delivering healthcare. We want passionate people like you to join us in the mission and leverage technology in the most innovative way possible to meet our clients' needs by partnering with us.</p><p><br /></p><p>Read more about why we started Reveal Healthtech <a href="https://revealhealthtech.com/insights/why-we-started-reveal-healthtech/" rel="nofollow noreferrer noopener">here</a>. </p>
Founded: Early 2023
Headquarters: New York, United States
Core focus: Data & AI engineering for healthcare and life sciences (HIPAA-compliant)
Recent activity: Combination with Manifold's AI consulting division (June 2024)
Known investors: W Health Ventures (seed), Sanos Capital, Leo Capital
Bridging AI and data engineering into regulated healthcare and life-sciences product development.
2023
Digital health / HealthTech
$4M
Company blog states a $4M seed from W Health Ventures.
Crunchbase lists a non-equity assistance event on this date.
Crunchbase lists a funding-related event on this date.
Crunchbase lists a Series A on this date with Leo Capital participation.
“Participated investors include W Health Ventures, Sanos Capital, Leo Capital”
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Reveal HealthTech is a dedicated healthcare life sciences focused technology services company – helping our clients with a range of AI and product engineering services. Reveal’s mission is to unleash the full potential of technology for our clients by prioritizing trust, agility, and expertise. We bring together domain understanding and engineering excellence to create meaningful products and platforms. Our multi-dimensional team is made up of industry experts, product designers and passionate software engineers located across the US and India.
This will be a hybrid role requiring onsite presence for 3 days/ week. Ideal candidate would be based in San Francisco, CA.
What do we need?
We are looking for passionate and motivated Fullstack engineers who will build revolutionary products and applications for digital health/Lifesciences companies. You will play a pivotal role in leading the technical development and driving innovation within our company.
This will include working closely with clients, requirement gathering, architecting and building front & backend systems, integrating with machine learning models, defining data structures, and running quality assessments.
You will have the opportunity to create global digital health products!
Engineering Outcomes
Key Skills and Qualifications
5+ years of hands-on professional experience of developing solutions
Proficiency in one or more languages: Python, FastApi, TypeScript, React/Node JS, HTML
Experience with various types of databases (MySql, MongoDB) and common web development tools & services, such as version control software, package managers, and CI/CD pipelines
Proficiency in DevOps practices such as automated testing, continuous integration, and automated deployments
Proven experience with cloud-based infrastructure (AWS, Azure, or Google Cloud) and building cloud-native applications
Bachelor’s in Computer Engineering or similar IT background or equivalent practical experience
Experience using microservices architectures and containerization tools such as Docker, Kubernetes
Experience with Life sciences or bio-pharma companies will be a plus
Experience with machine learning, data science, and modern AI (Large Language Models) would be a plus