Job Specifications
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.
Position is based in our Paris, Nantes or London offices or remotely in France, UK, Germany.
Please submit your CV in English
About the role:
As a Research & Machine Learning Engineer, you will push the boundaries of AI in life sciences and help build the world’s leading Agentic AI product for biomedical researchers. You will design, train, and integrate cutting-edge models and computations that go beyond language — spanning biological and multimodal data such as histology slides, spatial transcriptomics, clinical variables and even physics & chemistry modalities.
You’ll balance applied research with practical engineering, shaping the intelligence behind a real-time system that empowers scientists to generate hypotheses, analyze data, and accelerate discovery. If you’re excited about bringing advanced AI to complex, high-impact biological and chemical problems, this role is for you.
Your expertise will be instrumental in selecting and developing the right models, designing reliable evaluation strategies, and exploring innovative ways to apply AI across diverse life sciences data.
In particular, you will:
Collaborate within a multi-disciplinary team of product managers, designers, software engineers, and biomedical scientists.
Research, design, and build machine learning models tailored to complex biological and chemical datasets.
Explore and integrate LLMs, multimodal models, and domain-specific architectures (e.g., vision models for pathology, DNA-based and protein language models, molecular structure neural networks).
Prototype and evaluate approaches for fine-tuning, prompt engineering, retrieval-augmented generation, and reinforcement learning with human or programmatic feedback.
Establish robust evaluation and monitoring methodologies to ensure model performance, reliability, and interpretability in production.
Translate state-of-the-art research into practical solutions, balancing scientific depth with product impact.
Contribute to the broader technical vision and mentor teammates in ML best practices.
About you
Strong scientific curiosity and creativity with an applied mindset.
Proven experience in machine learning research and development (academic or industrial).
Solid understanding of deep learning architectures (transformers, diffusion models, vision models, graph neural networks, etc.).
Experience working with large and/or multimodal datasets — ideally in biomedical or chemistry or life sciences domain.
Familiarity with LLM fine-tuning, evaluation, or RLHF is a plus.
Strong programming skills (Python, PyTorch or TensorFlow).
Experience bringing ML models to production or collaborating closely with engineers.
Excellent communication and collaboration skills.
Fluent English, both written and spoken.
Stack: Python, PyTorch, Hugging Face, Kubernetes, AWS
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 fra...
Know more