Senior Applied Research Scientist
Core
Designing and training large-scale machine learning models at the intersection of genomics, proteomics, and chemistry to advance foundation models for life sciences.
Role type
Senior Applied Research Scientist (AI for Drug Discovery)
Builds
Large-scale foundation models for life sciences applications
Domain
Life Sciences / Drug Discovery / Bioinformatics / Computational Biology
Deliverable
production ML models
Required skills
Deep learning for sequences, diffusion models, LLMs, unsupervised learning, Python, C++, experimental design for model probing, mentoring, strategic roadmap crafting, software engineering design instincts
Preferred skills
Publications, presentations, research collaborations, hardware/software platform improvement
Technologies
Python, C++, deep learning frameworks, large neural networks
Responsibilities
Designing and training large-scale machine learning models, experimental design for probing model capabilities, mentoring team members and leading research initiatives, collaborating with hardware/software teams, engaging with the research community via publications and collaborations
Seniority
Senior, hands-on IC with mentorship responsibilities