Genetic engineering company pursuing species de-extinction and conservation
Colossal Biosciences applies genome editing to restore extinct species and protect endangered ones, pairing a Benchling and SnapGene lab stack with multi-cloud compute across AWS, GCP and Azure. Research dominates a senior-heavy, accelerating hiring mix, with active work on Hamilton Venus and HighRes Cellario lab automation. Hiring in design, production and entertainment points to an in-house documentary and media operation alongside the science.
Colossal Biosciences is a privately held biotechnology company founded in 2021 and headquartered in Dallas, Texas. It develops genetic engineering technologies aimed at bringing back extinct species, protecting critically endangered animals and repopulating ecosystems, and describes itself as the first to use CRISPR for de-extinction. The company employs 51–200 people and hires in the United States. Its work spans genome editing, cell reprogramming, somatic cell nuclear transfer, animal and veterinary programs, and documentary production.
Colossal uses Python, C++, Java and JavaScript, PostgreSQL, MySQL and MongoDB, cloud on AWS, GCP and Azure, plus lab tools Benchling and SnapGene and IT tools like Okta, Zscaler and Red Hat Enterprise Linux.
Yes. Research is the largest hiring area at Colossal, with hiring accelerating and skewed toward senior roles, alongside openings in design, operations, animal care, engineering and production.
Projects include lab automation on Hamilton Venus and HighRes Cellario, multi-omics data integration, genome editing and reprogramming protocols, edited cell lines for SCNT, a biobanking program and documentary production.
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Colossal Biosciences'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.