Senior Computer Vision Engineer
il y a 4 semaines
Cairn Biosciences is a leading biotechnology company developing innovative therapeutics for serious diseases. We are seeking a highly skilled Computer Scientist to join our Analytics team in Paris, France.
The ideal candidate will have expertise in image and data analysis, with a strong background in computer vision and machine learning. They will lead the development of computer vision and machine learning methods for quantitative microscopy and image-based screening in cellular models of human disease.
The successful candidate will be responsible for developing and productionizing new machine learning-based image analysis methods and software tools to analyze large-scale microscopy datasets.
Key Responsibilities:
- Support building and establishing Cairn's analytics research team in Paris, including defining analytics platform priorities and resourcing.
- Structure, design, and implement a machine-learning and computer vision-enabled analysis platform to extract novel insights from Cairn's drug discovery engine.
- Work closely with experimental biologists to analyze large-scale microscopy datasets to reach robust biological conclusions that inform Cairn's drug development priorities.
- Direct and oversee long-term research projects, along with short-term production-driven model iterations, both in collaboration with other analytics team members and in cross-functional partnership with R&D scientists in Cairn's broader organization.
- Presentation (verbal and written) in English of findings, contributions to internal reports, invention disclosures, and external publications and conference presentations.
Requirements:
- PhD in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science or related technical fields with 2+ years of experience or Master's degree with 5+ years of experience.
- Demonstrated ability and interest in applying state-of-the-art techniques in computer vision and/or machine learning to problems of biological interest, as evidenced by publications and/or a proven track record of leading machine learning teams to produce models for use in scalable approaches that reveal new biology.
- Comprehensive knowledge of modern and leading-edge machine learning tools and techniques, including deep learning expertise, with hands-on experience implementing, extending, and debugging computer vision and/or machine learning-enabled models, in addition to familiarity with associated high-performance computing requirements.
- Familiarity with microscopy and/or understanding of microscopy principles is required, with experience of high throughput and/or high content screening datasets preferred.
- Exceptional communication, critical thinking, and problem-solving skills that promote a goal-oriented work culture while fostering an environment of scientific rigor and curiosity.
- Creativity and the ability to lead by example as a member of a dynamic, fast-paced interdisciplinary team to achieve technical and corporate milestones.
- Good verbal and written communications in English.
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