Our aim is to facilitate the creation of advanced, more effective cancer treatments. Our wet lab produces substantial amounts of distinct imaging and molecular data, complemented by extensive clinical data from real patients. This exclusive dataset provides us with a distinct advantage in discovering better treatments more quickly.
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!
(Senior) Computational Biologist
Location: Paris
Reports In To: Lead Computational Biologist. Also working collaboratively with all the teams responsible for cell culture, wet lab experimentation and data management.
Salary: Flexible (DOE)
  
Main Responsibilities:

• 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 our research via academic and industry conferences and publications.

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
• A solid track record of achievements in the field, including (but not limited to) publications, conference presentations, contributions to open source libraries etc.
• Deep experience of modern machine learning techniques and their mathematical underpinnings, and the ability to translate this into clinical or biological implications for our lab-based team
• Strong programming skills in Python
• Exposure to cloud environments
• Exceptional collaboration an communication skills
• Proficiency in English

Nice-to-Haves

• Experience in working with the modern code development toolbox (bonus points if you have DevOps experience)
• Familiarity with a variety of omics techniques, including NGS, cell-based assays, functional genomics, single-cell techniques etc.
• Experience with engineering change control processes and/or software version control (Git, VSS, etc.)
• Prior experience in the context of therapeutic or diagnostic development programmes
• Passion for the intersection of data, biology, and the clinic.