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Company profile

insitro Tech Stack

AI-driven drug discovery for neuroscience and metabolic diseases

Biotechnology Research South San Francisco, California 201–500 employees Founded 2018 Privately Held
insitro.com LinkedIn

insitro pairs machine learning with wet-lab biology to find disease drivers and design therapeutics. Its stack spans PyTorch, Ray and Spark on AWS, GCP and Azure, alongside Benchling, LIMS, Nextflow and Tecan automation, which points to an industrialized data-to-lab loop. Senior- and director-heavy hiring in engineering and research, plus Phase 1 trial design work, signals a shift from platform building toward clinical execution.

Tech Stack 29 technologies

Core StackReact TypeScript Python Smartsheet C# PyTorch Kubernetes Apache Airflow TensorFlow PostgreSQL MySQL AWS Pandas Apache Spark Benchling Gemini Perplexity LIMS Ray Argo CD CMMS RDKit GCP Azure Polars Nextflow Snakemake Dask Tecan

What insitro Is BuildingChallenges and projects from their job posts

◆Challenges

  • Bottlenecks slowing the drug discovery pipeline
  • Advancing drug candidates into the clinic
  • Lack of disease-relevant cell models
  • Inefficient high-throughput screening and imaging experiments
  • No agentic workflow system in place
  • High-volume legal workload

▲Active Projects

  • Phase 1 trial design and execution
  • CellML platform
  • iPSC-CM platform development
  • Optical screening with ML computer vision pipelines
  • AI-forward project management with agentic tools
  • Cloud compute infrastructure agreements

Hiring Activity

Steady20 roles · 3 in 30d

Department

Engineering
6
Research
5
Data
3
Legal
2
Healthcare
1
Operations
1
Ops
1

Seniority

Senior
8
Director
5
Mid
2
VP
2
C-Level
1
Staff
1
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About insitro

insitro is a privately held biotechnology company founded in 2018 and headquartered in South San Francisco, California. It combines large-scale human and cellular data with machine learning models to identify genetic causes of disease and design candidate medicines. Its therapeutic pipeline focuses on neuroscience and metabolic diseases. The company has 201–500 employees, and its current hiring is concentrated in the United States across engineering, research, data and legal functions.

HeadquartersSouth San Francisco, California
Company Size201–500 employees
Founded2018
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does insitro use?

insitro uses Python, PyTorch, TensorFlow, Ray, Dask, Apache Spark, Airflow, Nextflow and Snakemake. It runs on AWS, GCP and Azure with Kubernetes and Argo CD, plus Benchling, LIMS, RDKit and Tecan for lab workflows.

What is insitro working on?

Current work includes Phase 1 trial design and execution, an iPSC-CM platform, a CellML platform, an optical screening platform, bioassay development and ML-powered computer vision pipelines.

Is insitro hiring engineers?

Yes. Engineering is insitro's largest hiring area, followed by research and data. Hiring skews toward senior and director-level roles and is based in the United States.

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How this profile is built

insitro'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.