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Company profile

BigHat Biosciences Tech Stack

AI-guided antibody design platform pairing machine learning with a wet lab

Biotechnology Research San Mateo, California 51–200 employees Founded 2019 Privately Held
bighatbio.com LinkedIn

BigHat Biosciences designs antibody therapeutics by coupling ML models built in Python and PyTorch with an automated lab running Opentrons and Tecan robotics, LC-MS and HPLC. A Clinical Operations Director search, IND-enabling studies and oncology and inflammatory trials show a shift from platform company toward clinical-stage developer. A QuickBooks-to-NetSuite move plus public-company compliance prep point to finance infrastructure being built for scale.

Tech Stack 32 technologies

Core StackNetSuite Python PyTorch Power Automate Smartsheet AWS TypeScript React AWS Lambda PostgreSQL Pandas LC-MS LIMS Vantage Opentrons Tecan Google Slides HPLC Agilent Material-UI Vega SQLAlchemy AWS CDK AWS Step Functions AWS ECS Batch AWS Fargate API Gateway Athena Sanger sequencing+1 more
ReplacingQuickBooks

What BigHat Biosciences Is BuildingChallenges and projects from their job posts

◆Challenges

  • Preparing for public company compliance
  • Accelerating therapeutic design and development timelines
  • Managing CRO relationships
  • Optimizing platform performance
  • Improving production workflows

▲Active Projects

  • Generative models of antibody sequence and structure
  • Automating design-build-test loop and QC frameworks
  • Late-stage IND-enabling studies
  • Early-phase oncology and inflammatory biologics trials
  • NetSuite ERP implementation replacing QuickBooks
  • High-throughput developability assay development

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Research
9
Data
3
Finance
1
Healthcare
1
Ops
1

Seniority

Senior
7
Mid
5
Junior
2
Principal
1

Notable leadership hires: Clinical Operations Director

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About BigHat Biosciences

BigHat Biosciences is a privately held biotech company founded in 2019 and headquartered in San Mateo, California, with 51–200 employees. It develops protein therapeutics, specifically antibodies, using a platform that combines high-throughput experimental characterization with machine learning to speed engineering. The software layer runs on AWS serverless and container services with PostgreSQL, while lab work relies on LIMS, liquid-handling robotics and analytical chemistry instruments. Hiring is concentrated in the United States and weighted toward research and data roles.

HeadquartersSan Mateo, California
Company Size51–200 employees
Founded2019
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does BigHat Biosciences use?

BigHat uses Python, PyTorch, Pandas and SQLAlchemy on AWS (Lambda, Step Functions, ECS, Fargate, CDK, Athena) with PostgreSQL, a TypeScript/React front end, plus LIMS, Opentrons, Tecan and LC-MS in the lab.

Is BigHat Biosciences hiring?

Yes, hiring is accelerating and US-based, led by senior research scientists and data roles, with additional openings in finance, operations and clinical operations leadership.

What is BigHat Biosciences working on?

Current work includes generative models of antibody sequence and structure, automating its design-build-test loop, high-throughput developability assays, IND-enabling studies and early-phase biologics trials in oncology and inflammatory disease.

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How this profile is built

BigHat 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.