Research Scientist (Foundation Models)

About Standard Model Biomedicine: Standard Model Biomedicine is revolutionizing healthcare by building foundation models for biology, enabling breakthroughs in oncology and beyond. We’re developing multimodal AI systems that integrate diverse biological data (genomes, CT scans, pathology slides, electrophysiological signals) to create universal patient representations. This role offers an opportunity to contribute to cutting-edge research while working with a small, elite team of experts from leading institutions and companies.

About The Role: As a Research Scientist, you’ll lead the development of foundation models for biomedical applications. You’ll design, train, and deploy large-scale AI systems that process complex biological data, focusing on oncology patients. This position requires a blend of deep technical expertise and scientific curiosity, with opportunities to shape research directions and collaborate with domain experts.

Key Responsibilities:

• Design and implement foundation models for oncology applications
• Develop multimodal AI systems that integrate genomic, imaging, and clinical data
• Conduct research on novel AI approaches for biomedical challenges
• Collaborate with cross-functional teams to validate model performance
• Mentor junior researchers and contribute to scientific publications
• Stay at the forefront of AI research in healthcare

Required Skills and Qualifications:

• PhD in Computer Science, Bioinformatics, Computational Biology, or related field
• Proven experience in developing large-scale AI/ML models
• Strong programming skills in Python, with experience in PyTorch/TensorFlow
• Deep understanding of machine learning algorithms and neural networks
• Familiarity with biomedical data and challenges
• Excellent scientific writing and communication skills

Compensation: Competitive salary with equity opportunities. Please inquire for specific details.

Company Benefits: Flexible remote work, opportunity to make significant impact in healthcare, collaborative research environment, and mentorship from industry leaders.