Job description

Since its inception in 2014, Roivant Sciences has sought to improve health by rapidly delivering innovative medicines and technologies to patients. We’ve employed a unique, decentralized model of nimble, focused companies (‘Vants’) focused on various therapeutic areas and built around the pursuit of innovation in drug development and technology. Our model is different. Five new medicines have been approved off the Roivant platform; we’ve built five biotechs that have become public; we’ve created well over $1b in value in Roivant Health in just six years. Our successes have ranged from computational drug discovery to tokenized healthcare data exchange, and from novel topicals for dermatological conditions to ultrarare tissue therapies. Roivant Health is Roivant’s platform for the creation of new technology Vants, focused on delivering improvements to human health outside of our traditional biotech platform. In six years since inception, we’ve created eight enduring companies and over $1B in enterprise value, including the leading deidentified healthcare data exchange platform (Datavant) and a top-tier computational drug discovery company (VantAI) which has partnered with Johnson & Johnson, Bristol-Myers Squibb, and Boehringer Ingelheim. Our goal is to improve human health by rapidly discovering, developing and delivering innovative medicines and technologies to all patients. Our success is predicated on attracting and retaining top talent, generating new ideas and promoting an open and collaborative culture. We embrace diversity across all dimensions and levels of the organization, and we strive to ensure every employee is supported in reaching their full potential. We hire motivated people with diverse backgrounds, identities, experiences and skillsets. We are committed to fostering an inclusive culture where all employees feel valued, respected and empowered to create value for patients. Summary: 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. Responsibilities: 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 Qualifications: 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. Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses, equity, and Company-sponsored benefit programs. This position is at-will and Roivant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions. Roivant Sciences provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Requirements

Must-haves

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
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
Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses, equity, and Company-sponsored benefit programs.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpython

Platform: greenhouse
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