Senior AI Scientist

Barrington James; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A leading biotech company is seeking a Senior AI Scientist to join their Computational Biology team. This role involves designing machine learning algorithms for biological datasets, developing models for drug response, and collaborating with a diverse team. The ideal candidate will have a PhD or MSc in a relevant field, strong Python skills, and experience with deep learning frameworks. This position offers a chance to impact cancer drug discovery significantly.

Qualifications

• PhD (or MSc with 4+ years of experience) in Computational Biology, AI / ML, Bioinformatics, Computer Science, or a related field.
• Extensive experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Demonstrated expertise in generative models, GNNs, LLMs, causal inference, multitask learning, active learning, or diffusion models.
• Strong background in omics data analysis (e.g., RNA-seq, WGS) and integration into AI models.
• Familiarity with scalable compute environments (cloud, multi-GPU, distributed training) and version control systems (Git, etc.).

Responsabilités

• Design and implement state-of-the-art machine learning algorithms to analyze large-scale, multimodal biological datasets, including genomics, transcriptomics, and functional screening data.
• Develop predictive and generative models to characterize tumor heterogeneity, predict drug response, and identify novel biomarkers and therapeutic targets.
• Collaborate closely with wet-lab biologists, bioinformaticians, and clinicians to derive actionable insights from experimental systems.
• Support ongoing research collaborations and commercial partnerships by contributing scientific expertise and computational solutions.
• Communicate results clearly to both technical and non-technical audiences; contribute to publications, presentations, and IP generation.

Connaissances

Python

Deep Learning

Generative Models

GNNs

Causal Inference

Multitask Learning

Active Learning

Diffusion Models

Omics Data Analysis

Formation

PhD in Computational Biology, AI / ML, Bioinformatics, Computer Science or related field

MSc with 4+ years of experience

Outils

PyTorch

TensorFlow

JAX

Git

Description du poste

I am partnering with a rapidly growing biotech company at the forefront of precision oncology, leveraging patient-derived biological models to transform the landscape of cancer drug discovery.

Their platform enables the generation of high-resolution, multimodal datasets from patient-relevant systems, which are used to develop and validate new therapeutic strategies grounded in real-world biology.

I am recruiting for a Senior AI Scientist to join their Computational Biology team and drive the development of cutting-edge AI / ML solutions that integrate diverse biological data to accelerate therapeutic discovery.

What You’ll Be Doing

• Design and implement state-of-the-art machine learning algorithms to analyze large-scale, multimodal biological datasets, including genomics, transcriptomics, and functional screening data.
• Develop predictive and generative models to characterize tumor heterogeneity, predict drug response, and identify novel biomarkers and therapeutic targets.
• Collaborate closely with wet-lab biologists, bioinformaticians, and clinicians to derive actionable insights from experimental systems.
• Support ongoing research collaborations and commercial partnerships by contributing scientific expertise and computational solutions.
• Communicate results clearly to both technical and non-technical audiences; contribute to publications, presentations, and IP generation.

Who You Are

• A passionate and rigorous computational scientist, motivated by biological discovery and translational impact.
• An independent thinker who thrives in dynamic, cross-functional teams.
• Comfortable working on complex, end-to-end projects in a fast-paced biotech or research environment.
• A proven contributor to high-impact projects, with a strong sense of ownership and scientific integrity.

Requirements

• PhD (or MSc with 4+ years of experience) in Computational Biology, AI / ML, Bioinformatics, Computer Science, or a related field.
• Extensive experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Demonstrated expertise in at least one of the following : generative models, GNNs, LLMs, causal inference, multitask learning, active learning, or diffusion models.
• Strong background in omics data analysis (e.g., RNA-seq, WGS) and integration into AI models.
• Familiarity with scalable compute environments (cloud, multi-GPU, distributed training) and version control systems (Git, etc.).

Bonus Points

• Experience with oncology datasets or cancer biology.
• Exposure to single-cell omics, spatial transcriptomics, or proteomics data.
• Contributions to open-source projects and / or authorship in peer-reviewed scientific journals.

Following your application Jay Robins, a specialist AI & Computational Sciences Recruitment consultant will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Jay Robins for any further information.