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.

I Suoi compiti

• 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

Che cosa porta con sé

• 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

Condizioni quadro

• Opzione di assunzione a tempo indeterminato dopo l'incarico, se entrambe le parti lo desiderano

Tecnologie

• PyTorch

Come candidarsi

Si candida con il Suo profilo Try&Hire: carichi il CV, verifichi i dati, inserisca i dati principali e la disponibilità. Un breve video di presentazione è facoltativo, ma aiuta. Il nostro team La contatterà se il Suo profilo è adatto all'incarico.