About us

Owkin is an agentic AI company on a mission to explore complex biology to speed up and scale research for the creation of new treatments and diagnostics for patients. Owkin K, our AI co-pilot combines unparalleled access to multimodal data, cutting-edge AI to understand biology and pioneering agentic AI to achieve Biological Artificial Superintelligence in the future.

Owkin is comprised of a group of specialized companies that work seamlessly together, combining deep expertise with a shared mission to accelerate biological discovery. Owkin K is the technology foundation of our ecosystem, it provides cutting-edge co-pilots incorporating high-quality data infrastructure and AI tools to power breakthroughs for researchers, customers and our companies.

Owkin has raised over $300 million through investments from leading biopharma companies, including Sanofi and BMS, and venture funds like Fidelity, GV and Bpifrance, among others.Owkin is seeking the best and brightest to join our fast-growing and dynamic team.

About the role:

As a Senior Software Engineer in the K product team, you will play a pivotal role in shaping and delivering the user-facing components of our platform. You will contribute to building and maintaining a virtual assistant system for biomedical researchers, powered by AI Engineering, to explore public biology knowledge and proprietary Owkin data—ultimately accelerating drug discovery.

You will lead the frontend technical vision and architecture while contributing across the stack (APIs, infrastructure, deployment) when needed. You will work closely with Product Managers and Designers to define user workflows, and you’ll be deeply involved in turning complex domain-specific requirements into usable, high-impact features.

We are looking for an engineer with strong technical leadership experience, capable of guiding architectural decisions, driving engineering excellence, and owning the delivery of high-quality software in a collaborative, mission-driven environment. This role also requires an ability to communicate clearly and effectively with cross-functional stakeholders, including experts in machine learning, biomedical sciences, and marketing.

In particular, you will:

• Lead the frontend architecture, development, and technical direction of our virtual assistant system, ensuring performance, maintainability, and user experience
• Collaborate with product managers and designers to design and deliver seamless user workflows around the assistant
• Communicate with diverse stakeholders across product, biomedical science, machine learning, and marketing to understand needs and shape solutions
• Work across the stack to build APIs, contribute to backend services, and support infrastructure and deployment
• Take ownership of frontend quality, reusability, and long-term scalability
• Implement data visualization components, including omics (genomics, transcriptomics, proteomics) and other biomedical data
• Improve CI/CD pipelines, observability, and development workflows
• Share knowledge and mentor engineers through code reviews, technical guidance, and architectural decisions

Position is based in our Paris or Nantes offices or remotely in France.

About you

We’re looking for someone with a strong engineering mindset, technical depth in modern frontend development, and a proven ability to lead technical initiatives. You operate with autonomy, collaborate across disciplines, and enjoy building usable systems in complex environments. You have a strong bias towards action and prototyping.

Required qualifications / experience:

• 8+ years of experience in frontend and full-stack engineering, with expertise in modern JavaScript/TypeScript frameworks (React, Vue, etc.) and APIs
• Proven technical leadership experience
• Good professional experience with Python
• Solid understanding of cloud-native architecture: Docker, containerization, Kubernetes
• Experience deploying applications in cloud environments (e.g. AWS, GCP)
• Proven ability to work cross-functionally and communicate clearly with technical and non-technical stakeholders
• Demonstrated attention to engineering excellence: automation, testing, observability, and performance
• Fluent English, both written and spoken

Preferred qualifications/bonus:

• Familiarity with LLMs, AI engineering patterns, or biomedical data visualization
• Experience building scientific, ML-driven, or data-intensive user interfaces
• Experience with E2E testing frameworks such as Cypress or Playwright
• Exposure to microservices and distributed architectures at scale

Please submit your CV in English

#LI-MD1

What we offer

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security

• Please complete the form and submit your CV.
• Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
• Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
• Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.
• Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).
• The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.
• The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
• Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger
• Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.

If you think that you have been a victim of fraud,

• Check the identity of the talent team on LinkedIn.
• Check the existence of the position on our website https://owkin.com/hiring
• Notify Owkin's recruitment unit at this address hiring@owkin.com
• contact the following authorities:
  • [FR] https://www.internet-signalement.gouv.fr/
  • [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime
  • [US] https://reportfraud.ftc.gov/