Senior Machine Learning Scientist

You design and benchmark novel machine learning algorithms for complex biological problems, working at the intersection of causal representation learning and drug discovery.

Vos tâches

• Design, implement and benchmark ML algorithms using causal representation learning and out-of-distribution generalization
• Frame foundational research questions beyond off-the-shelf ML paradigms for drug discovery
• Collaborate with cross-functional research teams across global innovation hubs
• Build and scale neural network architectures using deep learning frameworks
• Translate biological challenges into rigorous computational models
• Author scientific publications for top-tier ML and computational biology venues
• Present research findings at internal symposia and international conferences

Ce que vous apportez

• Ph.D. (or exceptional Master's degree) in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics or related field
• Solid grounding in machine learning theory, with interest in causal representation learning or out-of-distribution generalization
• Hands-on expertise building and training deep neural networks, proficiency with modern deep learning frameworks
• Track record of publications at premier ML conferences or journals
• Interest in working with biological datasets and molecular systems
• Strong collaborative and interpersonal skills across distributed global teams

Conditions

• Option d'engagement fixe après la mission, si les deux parties le souhaitent

Technologies

• PyTorch

Comment postuler

Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.