Aging-biology R&D company building ML-driven peptide drug discovery
Calico Life Sciences pairs wet-lab chemistry (HPLC, LC-MS, Benchling) with a serious ML compute stack (GCP, Kubernetes, Kueue, Ray, JAX, PyTorch, AlphaFold) and is now adopting Gemini. Job posts point to consolidating legacy compute into a centralized GCP landing zone and squeezing more from GPU/TPU capacity. Accelerating, director-heavy research hiring alongside regulatory and a Medical Director role suggests programs moving toward the clinic.
Notable leadership hires: Medical Director
Calico Life Sciences is a privately held research and development company founded in 2013 and headquartered in South San Francisco, CA. It studies the biology of human aging and works to develop therapeutics for age-related diseases, partnering with academic and industry groups. The company employs 201–500 people and hires in the United States. Its work spans peptide drug discovery, synthetic chemistry, DMPK and computational research supported by cloud and ML infrastructure.
Calico runs on GCP with Terraform, Kubernetes, Docker, Kueue and Ray, uses Python, JAX, PyTorch, TensorFlow and AlphaFold for ML, Benchling for lab data, and NetSuite and Coupa for finance and procurement.
Current projects include a next-generation ML platform, a centralized GCP landing zone, GPU/TPU capacity optimization, peptide drug discovery campaigns and automated high-throughput peptide synthesis.
Yes, hiring is accelerating in the United States, led by research with director and senior-level roles, plus engineering, regulatory and a Medical Director position.
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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.