Owkin

Biomedical Intern - Cancer Biology

Data Engineer

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Senior Frontend Engineer

Ontologist

Owkin is seeking a Biomedical Intern focused on Cancer Biology to join their Paris office. The role involves contributing to the development of a novel predictive AI model using AI agents for target discovery in oncology. The intern will define disease-relevant preclinical models, integrate complex disease models, and utilize curated experimental datasets, including spatial transcriptomics, single-cell RNA sequencing, and proteomic data. Responsibilities include assessing and ranking outputs from internal discovery engines, building on Klinical Match for accurate model selection, and collaborating with multidisciplinary teams. The internship offers hands-on experience with next-generation preclinical models and AI for target discovery and validation in cancer research.

Marketing Intern (Generalist)

<div><h1><span style="font-weight: 400;">About us</span></h1> <p><a class="c-link" href="https://owkin.com/" target="_blank" data-stringify-link="https://owkin.com/" data-sk="tooltip_parent">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 id="ember3793" class="job-preview ember-view job-details__preview elevation-2dp"> <div class="job-preview__job-details job-preview__job-details--reflow"> <div class="job-preview__description job-preview__description--reflow       " data-test-description=""> <h5><sub>The position is based in our Paris Office, with an ideal start date in April / May 2025. Please apply in English.</sub></h5> <h1>About the role:</h1> <p>The Owkin Biomedical Department aims at making novel biomedical discoveries building on high-quality, multi-modal patient datasets, multi-modal preclinical models and Artificial Intelligence (AI). At Owkin, we utilize AI to unlock the power of spatial transcriptomics, single-cell and bulk RNA, H&amp;E images, whole exome sequencing and preclinical models for novel Target Discovery, biomarker selection and drug repositioning in the field of Oncology.</p> <p>The Biomedical Discovery group of Owkin is looking for a passionate research intern to work on Target discovery in oncology.</p> <p>As part of the project, the intern will have the opportunity to contribute to the development of a novel predictive AI model using AI agents, by defining disease-relevant preclinical models that best reflect a specific tumor type, with a key focus on integrating complex disease models. The intern will actively participate in defining strategies that leverages curated experimental datasets—sourced from both peer-reviewed literature and in-house experimental studies —spanning patient-derived cellular, 3D organotypic and preclinical<em>in</em> <em>vivo</em> models, with Owkin spatial and scRNA data for Target discovery.</p> <p>The candidate will assess and rank outputs from our Internal Discovery engines based on defined biological criteria. The role also includes building on Klinical Match to allow an accurate model selection for validation and consequently accelerate translational research and support the development of more clinically relevant cancer models. Therefore, the intern will have the opportunity to evaluate candidates in early stages of experimental validation by critically evaluating experimental design and results from external partners as well as identifying suitable mechanistic hypotheses for positive target candidates. We expect the intern to collaborate closely with the multidisciplinary teams including R&amp;Tech (research &amp; technology), Biomedical and external partners.</p> <p>This internship provides a unique opportunity to gain experience in the use of next generation preclinical models and technologies coupled with AI for target discovery in oncology.</p> <h1>In Particular, you will:</h1> <ul> <li>Perform in-depth biological assessment on experimental design, results and interpretation of wet-lab experimental readouts datasets especially involving complex disease models, with particular focus on treatment response data.</li> <li>Implement, adapt and run internally developed predictive models to align and map the most relevant experimental models to patient subgroups</li> <li>Contribute to Klinical Match (K-Match) Discovery by integrating patient-derived preclinical models with spatial, single-cell RNA-seq, and proteomics from Owkin curated datasets (in 1 oncology indication)&nbsp;&nbsp;</li> <li>Support initial framework of validation of our K-Match Model Selection Agent</li> <li>Support&nbsp; Target candidates&nbsp; prioritisation from our Discovery Engine.&nbsp;&nbsp;</li> <li>Contribute to regular research reviews on the indication of interest and use of patient-derived experimental models and spatial &amp; single cell technologies for target discovery and validation.</li> <li>Participate and present findings in group meetings.</li> <li>Submit a final Report of your findings.</li> </ul> <h1>About you</h1> <p>Required qualifications / experience:</p> <ul> <li>MSc year 2+ level in oncology, molecular biology, immunology, immuno-oncology.</li> <li>Knowledge about tumor biology and the tumor microenvironment.</li> <li>Experience in techniques such molecular biology, genetic engineering technologies.</li> <li>Motivation to work at the intersection of biology and AI</li> <li>Excellent in written and oral communication skills</li> <li>Fluent in English (spoken and written)</li> <li>Highly organized and meticulous about details; capable of tackling complex problems logically and effectively; fun to work with; honest; excited to work in a dynamic, fast-paced environment</li> <li>Authorization to work legally in France</li> </ul> <p>Preferred qualifications/bonus:</p> <ul> <li>Experience in working with any of the following preclinical models and/or technologies: cellular screenings, organoids, 3D models, preclinical models, single cell, spatial transcriptomics, whole exome sequencing.</li> <li>Previous work on Target discovery projects</li> <li>Knowledge in immuno-oncology and preclinical models</li> <li>Contribution to publications in conferences and journals&nbsp;</li> </ul> </div> </div> </div>

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We are seeking a Super Product Evangelist to grow Super's LinkedIn presence by creating engaging product videos, interviews, industry takes, and AI usage walkthroughs. You will build repeatable content series across various formats and shape Super's public voice and style. The ideal candidate creates excellent video, written, and visual content, has experience growing channels end-to-end, and possesses a strong personal brand. You should be fluent in product language and knowledgeable about AI trends. Experience in content, product marketing, or community at a startup or in B2B SaaS, a track record of shipping great content, strong storytelling, a bias to build, and comfort on camera are highly desirable.

<h2>Is this you?</h2><h3>What you’ll do</h3><ul role="list"><li>Grow Super’s LinkedIn presence, yours and ours</li><li>Create product videos, interviews, takes on the industry, education on how to use AI at work, walkthroughs, etc.</li><li>Build repeatable content series across formats</li><li>Shape Super’s public voice and style</li></ul><h3>Who you are</h3><ul role="list"><li>You make great content: video, written, visual</li><li>You’ve grown a channel end-to-end (LinkedIn, YouTube, etc.)</li><li>You have or are building a strong personal brand</li><li>You speak the language of GTM and Ops. Not deeply technical, but product fluent.</li><li>You are on the verge of what happens in AI and can help our team - and our market - understand what’s coming and what matters.</li></ul><h3>You’ll thrive if you have</h3><ul role="list"><li>Experience in content, product marketing, or community at a startup or in B2B SaaS</li><li>A track record of shipping great content</li><li>Strong storytelling instincts, especially for product</li><li>A bias to build, not wait</li><li>Comfort on camera, you’ll be a public face of Super</li></ul><h3>Bonus</h3><ul role="list"><li>You’ve built a great personal brand</li><li>You’ve made product videos that drove adoption</li><li>You master creative tools like Figma and video tools</li></ul>

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