AI-driven drug discovery platform focused on aging biology and age-related diseases
Calico is an Alphabet-founded biotech R&D company building computational infrastructure for drug discovery in aging. The tech stack—PyTorch, JAX, TensorFlow, AlphaFold, alongside wet-lab tools like LC-MS, qPCR, and HPLC—reflects a dual-track approach: deep learning for target identification and sequence analysis paired with classical chemistry and molecular biology. The hiring mix is research-dominated (21 roles) with a small engineering contingent (4), typical of discovery-stage biotech, though the active adoption of AlphaFold and ML frameworks suggests computational leverage is becoming central to their screening and target validation pipeline.
Notable leadership hires: Medical Director
Calico develops technologies and drug candidates aimed at understanding and intervening in human aging. Founded in 2013 as an Alphabet subsidiary, the company operates a research campus in South San Francisco with 201–500 employees. The portfolio spans aging biology research, novel drug target identification (particularly in cardiovascular and neuropsychiatric domains), and a translational pipeline from biomarker discovery through clinical proof-of-concept studies. Projects include an antibody discovery engine, deep learning models for biological sequence analysis, and design-build-test-learn cycles for experimental medicine. Pain points center on accelerating feedback loops in drug discovery, scaling synthetic chemistry, and managing complex clinical and regulatory timelines.
Calico focuses on aging biology research, novel drug target identification for cardiovascular and neuropsychiatric diseases, deep learning for biological sequences, antibody discovery, and clinical development programs to demonstrate proof-of-concept in age-related indications.
Calico uses PyTorch, JAX, TensorFlow, AlphaFold, and Ray for ML; Python and FastAPI for software; GCP, AWS, and Azure for cloud infrastructure; and wet-lab instruments including LC-MS, qPCR, HPLC, and Agilent systems.
Calico Life Sciences's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.