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# Founding Engineer

- **Company:** Roivant Sciences
- **Location:** United States
- **Salary:** $130,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Python (Programming Language), Machine Learning
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/founding-engineer-roivant-health-roivant-sciences-8127099

## About the Role

* Experience building and deploying ML or AI systems in production
 * Strong Python engineering skills with experience in building scalable, testable codebases
 * Comfort working in fast-paced, high-ambiguity environments where requirements evolve

We are deep believers in rapid career advancement for high performers and take a flexible approach to role design, adjusting responsibilities based on individual strengths. The ideal candidate is ambitious, entrepreneurial, and comfortable with ambiguity, driven by a passion for building transformational healthcare technology. We seek individuals who embrace calculated risk-taking as essential to achieving meaningful outcomes for patients.

Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $130,000 to $180,000 per year at the commencement of employment, but the final salary offered may be outside this range based on individual circumstances and business and market conditions.

## Description

Roivant is seeking a Founding Engineer to work on the core technology underpinning new healthcare and life sciences companies. You'll partner with business, operational, product, and/or clinical leaders to rapidly de-risk, prototype and productize new software, working at the intersection of AI, data engineering, and real-world biomedical data. This is a hands-on, highly entrepreneurial role ideal for a talented software engineer who wants to build groundbreaking health AI products., * Contribute to technical strategy for new company formation, including scoping early technical feasibility, identifying data and infrastructure needs, and building initial proof-of-concept systems

 * Design, build, and iterate on tooling, infrastructure, and workflows to run AI/ML training and inference workloads at scale across varied health × AI applications
 * Develop and refine data and model pipelines that integrate multimodal health data (e.g., clinical text, omics, imaging, sensor data, etc.) for downstream AI/ML tasks
 * Collaborate closely with domain experts and business stakeholders to incorporate client and commercial insights into model design and deployment


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