OWKIN FRANCE

www.owkin.com

5 Jobs

475 Employees

About the Company

Owkin is an AI biotechnology company that uses AI to find the right treatment for every patient. We combine the best of human and artificial intelligence to answer the research questions shared by biopharma and academic researchers. By closing the translational gap between complex biology and new treatments, we bring new diagnostics and drugs to patients sooner.

We use AI to identify new treatments, de-risk and accelerate clinical trials and build diagnostic tools. Using federated learning, a pioneering collaborative AI framework, Owkin enables partners to unlock valuable insights from siloed datasets while protecting patient privacy and securing proprietary data.

Owkin was co-founded by Thomas Clozel MD, a former assistant professor in clinical onco-hematology, and Gilles Wainrib, a pioneer in the field of machine learning in biology, in 2016. Owkin has raised over $300 million and became a unicorn through investments from leading biopharma companies (Sanofi and BMS) and venture funds (Fidelity, GV and BPI, among others).

Listed Jobs

Company Name: OWKIN FRANCE
Job Title: Senior Software Engineer - AI Product
Job Description

Company Name: OWKIN FRANCE
Job Title: Senior AI Software Engineer
Job Description: **Job Title:** Senior AI Software Engineer **Role Summary:** Design, develop, and maintain scalable, reliable AI systems for a cutting‑edge agentic AI product in biomedical research. Lead technical strategy, mentor team members, and integrate large language models (LLMs) and AI components into a robust production stack. **Expectations:** * Deliver production‑ready AI solutions that are secure, scalable, and maintainable. * Provide technical leadership, influence architecture, and make strategic decisions. * Mentor and grow junior engineers through code reviews, technical discussions, and knowledge sharing. **Key Responsibilities:** * Collaborate with product managers, designers, software engineers, ML scientists, and biomedical researchers to define requirements. * Design, implement, and maintain end‑to‑end AI pipelines, ensuring data integrity, performance, and observability. * Drive architectural decisions, focusing on sustainability, scalability, security, and reliability. * Evaluate AI models and orchestration patterns; experiment with fine‑tuning, monitoring, and feedback loops to continuously improve product quality. * Lead development of core stack components, including API services, data ingestion layers, and model serving infrastructure. * Establish CI/CD pipelines, automated testing, and continuous monitoring for all AI and supporting services. * Mentor peers, conduct code reviews, and facilitate knowledge sharing across the engineering team. **Required Skills:** * Strong programming in Python; experience with Kubernetes and AWS. * Proven track record delivering software at scale in production environments. * Deep understanding of system architecture, infrastructure design, and cloud services. * Expertise in CI/CD, observability, monitoring, and incident response. * Experience with or strong interest in AI systems, including LLM integration, fine‑tuning, and model orchestration. * Excellent communication, collaboration, and leadership abilities. * Fluent in written and spoken English. **Required Education & Certifications:** * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. * Professional certifications in AWS, Kubernetes, or AI/ML engineering are a plus. ---

Company Name: OWKIN FRANCE
Job Title: Biomedical Intern - Cancer Biology
Job Description: **Job Title** Biomedical Intern – Oncology Target Discovery **Role Summary** Short‑term research internship focusing on the application of AI and multi‑modal datasets to identify and prioritize cancer targets. Involves biological evaluation of experimental designs, integration of patient‑derived models, and support of AI‑driven selection tools. **Expectations** - Minimum of 2 years of MSc study in oncology, molecular biology, immunology, or related field. - Strong understanding of tumor biology and the tumor microenvironment. - Experience with molecular biology and genetic‑engineering techniques. - Motivation to combine biology with AI and ability to work in a fast‑paced, collaborative setting. **Key Responsibilities** 1. Evaluate experimental designs, wet‑lab readouts, and treatment‑response data from complex disease models. 2. Run and adapt internal predictive models to map experimental models to patient subgroups. 3. Integrate patient‑derived preclinical data with spatial, single‑cell RNA‑seq, and proteomics datasets for target discovery. 4. Contribute to the development and validation of the Klinical Match model‑selection agent. 5. Prioritize target candidates from the Discovery Engine and assist in early‑stage validation planning. 6. Prepare and present findings in group meetings; submit a final report. **Required Skills** - Deep knowledge of tumor biology, tumor microenvironment, and molecular biology methods. - Proficiency in data analysis and use of AI predictive models. - Ability to integrate multi‑modal datasets (spatial transcriptomics, scRNA‑seq, proteomics). - Strong written and oral communication in English. - Highly organized, detail‑oriented, and capable of logical problem‑solving. **Required Education & Certifications** - MSc (or equivalent) in Oncology, Molecular Biology, Immunology, Immuno‑oncology, or related discipline (year 2+). - Fluent in English (spoken and written). - Legal authorization to work in France.

Company Name: OWKIN FRANCE
Job Title: Data Portfolio Intern
Job Description: **Job Title:** Data Portfolio Intern **Role Summary:** Provide analytical, strategic, and operational support to Sales & Partnerships, collaborating with the COO team to accelerate data mapping, build a dataset catalog, and advance business proposals and data offerings. **Expectations:** - Work cross‑functionally with data scientists, product, sales, and operations. - Deliver actionable insights from medical literature, business intelligence, and competitive analysis. - Build relationships with internal teams and external stakeholders. - Demonstrate strong prioritisation, adaptability, and initiative. **Key Responsibilities:** - Design and implement data mapping tools, processes, and methodologies for accessing diverse sources (online, analytics firms, databases). - Assist in developing a comprehensive dataset catalog tool. - Conduct pipeline analysis of pharmaceutical companies, including competitive intelligence and benchmark existing datasets. - Contribute to business proposals and data service concepts. - Generate insights on assets, providing strategic recommendations based on scientific literature and market trends. - Coordinate strategic discussions on leveraging the organisation’s data assets. **Required Skills:** - Business acumen and framework thinking. - Ability to read and synthesise scientific literature on medical innovation. - Strong analytical, project management, and multitasking skills. - Excellent written and oral communication in English; French is a plus. - Proficient in MS Office/Google Workspace; familiarity with data‑management tools a plus. - Relationship‑building, teamwork, and cross‑function collaboration. - Proactive, independent, and integrity‑driven with a passion for AI and clinical research. **Required Education & Certifications:** - PharmD, Biomedical Engineering, or equivalent. - Preferably holding an MSc from a business school (or equivalent business coursework). - No mandatory certifications, but a solid academic foundation in biology, data science, or business is required.

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