Our Team Dandelion Health was founded in 2020 by experts in health tech, hospital systems, academia, and clinical AI. We are building the world’s largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here. Our Data We partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources – with two additional U.S. health systems joining soon. We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to: - Structured data (e.g., 100% of the EMR, including some claims) - Unstructured text (e.g., clinical notes, radiology reports) - Images (e.g., DICOM, pathology) - Video - Waveforms - Continuous streaming monitoring data Your Role Dandelion is constantly expanding the breadth, depth, and completeness of health system datasets while improving the speed and quality of our de-identification pipeline. As an engineer working on our de-identification pipelines, you will: - Design and implement software systems that perform these de-identification rules at high scale and throughput (we de-identify billions of rows of data and millions of images each month) while constraining costs. - Generate and execute quality assurance plans to validate our de-identification processes. - Run de-identification pipelines in health system cloud environments, and optimize these pipelines to minimize error rates, improve processing efficiency, and reduce manual effort and cost. - Partner with our Director of Privacy and Clinical Informaticists to define de-identification rules. Required technical skills - 3+ years of development experience in Python or an equivalent language in a professional setting, across the full software development lifecycle (design, implementation, testing, deployment, maintenance); - Familiarity with one or more command languages (e.g. Bash) and SQL. Required Non-technical skills - Demonstrated ability to design and improve workflows, including associated operating procedures, cost management, and quality assurance; - Strong analytical decision-making and organizational skills; - Perseverance and practical problem solving; - Humility and strong team collaboration; - Enthusiasm about protecting patients’ personal data. We are an AWS and Python shop, and our datasets are stored in AWS Redshift, Snowflake, or Parquet files which are processed in Pandas DataFrames. Preferred skills - Proficiency with data structures such as Pandas DataFrames; - Previous software deployment in a cloud computing environment (e.g., AWS, Azure); - Familiarity with virtualization and containerization (e.g., Docker, VMware); - Prior experience working with healthcare data; - Experience interacting with non-technical stakeholders to deploy software solutions. Team Benefits - Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum - Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details - Professional development days to build your skills - Collegial work environment - Academic bent towards inquiry and problem solving but start-up speed and flexibility - Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively - Dandelion is a mission-driven company that is focused on improving patient care

About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Position is based in our Paris office or remotely in France, UK, Germany. Please submit your CV in English About the role: As a Senior Software Engineer in the Platform Services team at Owkin, you will build and maintain scalable data management and processing systems on cloud infrastructure. These systems support complex biomedical research and business intelligence use cases across their full lifecycle. You will ensure these systems meet high standards of privacy, security, and compliance. In particular, you will: - Design, implement, and maintain cloud-based infrastructure and services at the intersection of agentic AI and petabytes of multimodal patient data. - Own specific critical platform components end-to-end. - Drive technical standards, architectural reviews, and best practices across the engineering department. - Mentor junior/mid-level engineers. - Contribute to the design and evolution of our product architecture across a number of use cases of scalable scientific computing, data processing and AI engineering. - Collaborate with software engineers, data engineers, researchers and data scientists to understand their needs and implement solutions that enhance their productivity. - Support and improve our CI/CD pipelines, development workflows, and security practices. - Participate in incident response to ensure high availability and reliability. - Contribute to maintaining the confidentiality, integrity and availability of data (security by design, vulnerability reduction). - Improve the modularity and the performance of our solution. - Improve the observability of the stack and increase its resiliency. - Contribute to and improve our development tooling and processes. Impact on stakeholders: - Direct impact on K Pro users & Owkin products and other Owkin customers through enhanced performance and feature delivery. - Bioinformaticians, data scientists and researchers: you will help create a user-friendly environment that accelerates their work through streamlined data access, efficient processing, and seamless project collaboration. - Owkin partners: you will strengthen Owkin's data network with academic partners by enabling them to share their data securely and easily. - Amplifying the productivity of Owkin developers as part of a platform services team working on transversal platform features. This role offers the opportunity to work at the intersection of AI engineering with biomedical research and clinical development About you More than a list of requirements, we are looking for a skilled individual with a “can do” mindset, able to mobilize their experience to deliver value as part of a team. Autonomy in learning and delivering is valued as much as being able to embrace the culture and processes. Required: - Significant experience (typically 7+ years) as a software engineer, demonstrating technical leadership in designing, deploying, and operating critical cloud infrastructure at scale. - Experience with either python or golang. - Strong experience in Docker. - Experience using AI tools (e.g., Claude Code) to improve software engineering efficiency and productivity - Management of cloud infrastructure as code, using terraform and kubernetes on AWS, Azure or GCP - Experience in architectural design of complex systems, especially for complex data at scale. - Demonstrated attention to quality and software engineering processes, including observability and security: we run what we build. - Full professional proficiency in English and async communication: our team is distributed across Europe. Preferred qualifications / bonus skills: - Familiarity with scientific or biomedical use cases (research and application) - Experience in AI and agentic AI applications - Experience in Data Engineering - Experience with MLOps practices - Frontend skills - Knowledge in healthcare or biomedical domains #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 our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/

• Collaborating closely with Product Managers and Product Designers in an agile environment • Using knowledge of full stack development to support the team • Identifying, troubleshooting, and resolving software defects through manual testing • Participating in all Scrum rituals • Contributing to the transition of our application to a service-based architecture • Squashing bugs • Contributing to technical estimates and planning for development tasks • Preparing and maintaining technical documentation for developed features

• Design and build scalable, fault-tolerant systems across product and infrastructure • Own end-to-end architecture decisions across multiple services • Lead development of core platform primitives (content, identity, transactions, messaging) • Improve performance, reliability, and system observability • Work closely with founders to translate product vision into technical systems • Set engineering standards, best practices, and code quality bar • Mentor engineers and help level up the team • Identify and eliminate bottlenecks across the stack • Develop and maintain server-side applications (PHP 8, Laravel 10, Node.JS, Golang, MySQL) • Build and optimize APIs, ensure performance, scalability, and security • Implement front-end features with React.js (18.2) • Work with CI/CD pipelines, automated testing, and code reviews • Collaborate with cross-functional teams, mentor juniors • Manage integrations between systems and cloud services (AWS) • Maintain documentation, database schemas, and ensure security best practices