Orakl Oncology is a techbio company, based in Paris and aiming to transform the fight against cancer. We combine best-in-class biology with data-powered and AI-driven analysis to enable companies to identify and optimise new anti-cancer therapies. We are an interdisciplinary platform working at the intersection of cell biology, engineering and machine learning.

Orakl Oncology is a spin-off from the Gustave Roussy Institute, our offices are located in Paris and our lab in le Kremlin-Bicêtre, France. We have more than 30 years of combined research in the oncology field and we’re now looking for the best talents to come and join our ambitious team in the fight against cancer!

Orakl Oncology’s goal is to enable the development of new, more efficient treatments for cancer patients. Our wet lab generates large volume of unique imaging and molecular data and we have access to deep, matched clinical data from real life patients in the clinic. This unique collection gives us a unique edge to allow us to find better treatments, faster.

As the (Senior) Computational Biologist you will play a key role in Orakl’s target discovery strategy. In particular you will:

• Collaborate with the computational biologists, cell biologists and our medical experts to drive data enables drug development
• Build multi-modal analysis pipelines integrating patient and PDO-derived omics and wetlab data
• Develop methods for biomarker identification and target discovery
• Collaborate with our scientists on our internal R&D programs
• Communicate on Orakl’s research via academic and industry conferences and publications

If you’re passionate about precision medicine, multi-modal approaches and functional assays, if you enjoy collaborating with interdisciplinary teams and want to be a part of building the next-generation platform for making biotechnological products - please apply!

This position reports directly to the Lead Computational Biologist and also needs to work effectively and collaboratively with the teams at Orakl Oncology responsible for cell culture, wet lab experimentation and data management.

Even if you don't feel that you meet every single requirement, we still encourage you to apply.

Need-to-Haves

• PhD and/or extensive experience in computational biology, computational genomics, machine learning or any other related field
• 3 years of hands-on experience in leading AI driven research projects