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Internship Health Tech Startup Jobs (NOW HIRING)

You will leverage your existing developer marketing expertise, technology startup insights, while ... Assess partner satisfaction and loyalty, reflecting the health and mutual benefit of our venture ...

GripFusion is a sports-technology startup building next-generation intelligent sporting equipment ... healthy. We operate at the intersection of hardware, software, data science, and applied ...

GripFusion is a sports-technology startup building next-generation intelligent sporting equipment ... healthy. We operate at the intersection of hardware, software, data science, and applied ...

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Internship Health Tech Startup information

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How much do internship health tech startup jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for internship health tech startup in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship at a health tech startup?

An internship at a health tech startup is a temporary work opportunity where students or recent graduates gain hands-on experience in the intersection of healthcare and technology. Interns may work on projects ranging from software development and data analysis to marketing, regulatory research, or user experience design. These internships offer exposure to a fast-paced, innovative environment and the chance to contribute to solutions that improve health outcomes. Health tech startup interns also learn about the unique challenges and opportunities in digital health, often working closely with founders and multidisciplinary teams.

What are the key skills and qualifications needed to thrive as an intern at a health tech startup, and why are they important?

To thrive as an intern at a health tech startup, you need a basic understanding of healthcare concepts, data analysis, and relevant academic coursework in fields like computer science, engineering, or life sciences. Familiarity with tools such as Excel, Python, or data visualization platforms, and exposure to project management or electronic medical record (EMR) systems is helpful. Initiative, adaptability, teamwork, and strong communication skills set outstanding interns apart in the fast-paced startup environment. These skills enable interns to contribute effectively, learn quickly, and adapt to the evolving needs of the startup.

What types of projects and learning opportunities can interns expect while working at a health tech startup?

Interns at health tech startups typically engage in a variety of hands-on projects, such as assisting with product development, supporting user research, or analyzing healthcare data. The fast-paced startup environment encourages interns to take ownership of their work, collaborate closely with multidisciplinary teams, and often interact directly with founders or senior leaders. These experiences provide valuable exposure to both technology and healthcare sectors, allowing interns to develop practical skills and gain insight into the challenges of innovating in health tech. Interns can also expect to participate in regular team meetings, brainstorming sessions, and may have opportunities to present their work to the wider team.

What is the difference between Internship Health Tech Startup vs Health Tech Data Analyst?

AspectInternship Health Tech StartupHealth Tech Data Analyst
Required CredentialsEnrolled in relevant degree, basic technical skillsDegree in data science, statistics, or related field; proficiency in data tools
Work EnvironmentFast-paced startup, collaborative, innovativeCorporate or startup setting, analytical, data-driven
Employer & Industry UsageHealth tech startups, early-stage companiesHealthcare organizations, health tech companies
Search & Comparison IntentEntry-level, learning opportunities in health techData analysis, healthcare data insights

Internship Health Tech Startup roles focus on gaining hands-on experience in a dynamic startup environment, often requiring basic technical skills and a relevant educational background. Health Tech Data Analysts typically have specialized data skills and work in more structured settings analyzing healthcare data. Both roles serve different career stages and objectives but share a focus on health technology.

More about Internship Health Tech Startup jobs
What cities are hiring for Internship Health Tech Startup jobs? Cities with the most Internship Health Tech Startup job openings:
What are the most commonly searched types of Health Tech Startup jobs? The most popular types of Health Tech Startup jobs are:
What states have the most Internship Health Tech Startup jobs? States with the most job openings for Internship Health Tech Startup jobs include:
What job categories do people searching Internship Health Tech Startup jobs look for? The top searched job categories for Internship Health Tech Startup jobs are:
Infographic showing various Internship Health Tech Startup job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.

Junior / Mid-Level Full-Stack Platform Engineer (Remote)

Urrly

Austin, TX • Remote

$90K - $130K/yr

Full-time

Posted 5 days ago


Job description

Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.

Junior / Mid-Level Full-Stack Platform Engineer

Location: Remote/distributed in the United States; Austin / San Antonio preferred

Company: Confidential biometric health technology company

Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles

Opportunity

We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.

This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.

The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.

Why People Lean In
  • Real platform work in biometric health technology, not toy internal tools.
  • Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs.
  • Mentorship from senior technical leaders while still owning meaningful build work.
  • A lean startup environment where strong early-career engineers can grow quickly.
  • Remote/distributed setup, with Austin / San Antonio preferred but not required.
  • $90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles.
What You Will Do
  • Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems.
  • Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces.
  • Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure.
  • Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs.
  • Ship clean, reliable code in a compliance-aware environment.
  • Debug production-adjacent issues, reason through data flow, and improve the platform over time.
  • Move quickly without waiting for every detail to be prescribed.
What You Bring
  • Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project.
  • Strong Python or Go skills.
  • Experience building backend services, APIs, SDKs, or data pipelines.
  • Practical frontend experience, especially JavaScript or TypeScript.
  • Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow.
  • Comfort working in a lean startup where priorities move quickly.
  • Ability to communicate tradeoffs clearly and learn from senior engineers.
  • Willingness to complete a live coding assessment.

Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.

Nice To Have
  • Depth across both Python and Go.
  • AI/ML, AI tooling, data infrastructure, or model-facing platform exposure.
  • Health tech, wearables, biometric data, IoT, or device-connected software experience.
  • HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience.
  • Austin, San Antonio, or broader Texas location.
  • Strong science, engineering, computer science, or systems-oriented background.
What Success Looks Like
  • You learn the existing platform quickly and start shipping useful work.
  • You can own well-scoped full-stack, API, SDK, backend, or data-pipeline tasks from definition through deployment.
  • You ask good questions, communicate tradeoffs, and avoid getting stuck quietly.
  • You write code that is simple, testable, and maintainable.
  • You grow quickly with mentorship while still taking real ownership.
  • You bring curiosity about AI-enabled engineering without needing to be a pure AI researcher.
Additional Details

This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.

The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.

Equal Opportunity Statement

Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.

Apply Now

Apply now and get a response within 24 hours.