<div><h1><span>About us</span></h1> <p><a href="https://owkin.com/" target="_blank">Owkin</a>  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.</p> <p><br />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.</p> <p>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.</p> <p> </p></div><div> <div> <div> <p><strong><em>Position is based in our Paris, Nantes or London offices or remotely in France, UK, Germany.</em></strong></p> <p><strong><em>Please submit your CV in English</em></strong></p> <h1>About the role:</h1> <p><span>As Agentic Data Engineer in K product team, you will be a the heart of our mission to accelerate data-driven biomedical discoveries at scale. You will contribute to building and maintaining a virtual assistant system for Biomedical researchers that uses agents &amp; tools to explore public biology knowledge, Owkin proprietary data and client data in order to power drug discovery decisions. <br /><br />More specifically </span><span>the role is focused on designing and optimising </span><span>data </span><span>workflows (storage, querying, analytics, etc)</span><span> for agentic capabilities.</span></p> <h1>In particular, you will:</h1> <ul> <li>Design, implement, and maintain a data-intensive applicative stack including large language models components (agents, tools, retrieval-augmented generation) and visualisation capabilities for omics (genomics, transcriptomics, proteomics) data</li> <li>Build, optimize and maintain data architectures (e.g. datalakehouse) for ensuring real-time data analysis</li> <li>Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets</li> <li>Enable Applied AI teams to compute, store and index data for making it explorable by the agentic system</li> <li>Collaborate with product managers, engineers and scientists to implement features that benefit drug discovery practitioners</li> <li>Support and improve our CI/CD pipelines, development workflows</li> <li>Participate in incident response to ensure high availability and reliability</li> </ul> <h1>About you</h1> <p>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.<br /><br />Required qualifications / experience:</p> <ul> <li>Experience in architectural design of complex data platforms</li> <li>Experience with an applicative stack deployed in a cloud-based infrastructure</li> <li>Experience in maintenance of ETL pipelines</li> <li>Demonstrated attention to quality and engineering processes, including observability and security: we run what we build</li> <li>Proficient in the technologies like Airflow, AWS ecosystem (or other cloud provider), Docker, Kubernetes, Grafana, Infrastructure as Code</li> <li>Experience with python</li> <li>Full professional proficiency in English: our team is distributed across Europe</li> </ul> <p>Preferred qualifications/bonus:</p> <ul> <li>Experience in building AI Engineering / LLM-based systems</li> <li>Experience in building machine-learning based systems</li> <li>Familiarity with omics data or other medical data modalities</li> </ul> </div> </div> </div><div><h1><span>What we offer</span></h1> <ul> <li><span>Flexible work organization </span></li> <li><span>Friendly and informal working environment</span></li> <li><span>Opportunity to work with an international team with high technical and scientific backgrounds</span></li> </ul> <h1><span>Recruitment Process &amp; Security</span></h1> <ul> <li><span>Please complete the form and submit your CV.</span></li> <li><span>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.</span></li> <li><span>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:</span></li> <li><span>Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. </span></li> <li><span>Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).</span></li> <li><span>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.</span></li> <li><span>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;</span></li> <li><span>Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). </span><strong>They will not occur via Signal, Telegram or Messenger</strong></li> <li><span>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.</span></li> </ul> <p> </p> <p><span>If you think that you have been a victim of fraud, </span></p> <ul> <li><span>Check the identity of the talent team on LinkedIn.</span></li> <li><span>Check the existence of the position on our website </span><a href="https://owkin.welcomekit.co/"><span>https://owkin.com/hiring</span></a></li> <li><span>Notify Owkins recruitment unit at this address </span><a href="mailto:hiring@owkin.com"><span>hiring@owkin.com</span></a><span> </span></li> <li><span>contact the following authorities:</span></li> <ul> <li><span>[FR] </span><a href="https://www.internet-signalement.gouv.fr/"><span>https://www.internet-signalement.gouv.fr/</span></a><span> </span></li> <li><span>[UK] </span><a href="https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime"><span>https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime</span></a><span> </span></li> <li><span>[US] </span><a href="https://reportfraud.ftc.gov/">https://reportfraud.ftc.gov/</a></li> </ul> </ul></div>