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Generate Biomedicines

Generative Biology / AI Drug Discovery · Somerville, Massachusetts, USA

Matrix Employer Score™

94.4

High confidence

Employer Intelligence Evidence

Evidence-backed signals supporting our assessment of this AI employer.

Evidence-backed
AI Impact
High Confidence
88
3 evidence items
View evidence

Supporting signal

Healthcare AI Deployment & Patient/Scientific Impact

Healthcare AI Deployment & Patient/Scientific Impact

Medium Confidence

Oct 9, 2026

Generate describes a randomized placebo-controlled first-in-human GB-0669 study enrolling 51 healthy adults, with 36 receiving the AI-designed antibody, reporting tolerability, pharmacokinetic and neutralization observations.

Source: Generate — GB-0669 Phase 1 reportprimaryOpen source ↗

Healthcare AI Deployment & Patient/Scientific Impact

High Confidence

Sep 26, 2026

Generate Biomedicines has advanced generatively designed protein therapeutics into development and clinical-stage programs.

Source: Generate BiomedicinesCompanyOpen source ↗

Clinical Pipeline Progress

High Confidence

Sep 26, 2026

Generate Biomedicines has advanced generatively designed protein therapeutics into development and clinical-stage programs.

Source: Generate BiomedicinesCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026
AI Leadership
High Confidence
97
3 evidence items
View evidence

Supporting signal

Healthcare AI Clinical & Scientific Leadership

Healthcare AI Clinical & Scientific Leadership

High Confidence

Oct 7, 2026

Generate operates a closed-loop generate-build-measure-learn platform that combines generative algorithms with at-scale protein synthesis and experimental measurement; AI-designed medicines from this platform have reached human clinical studies, including peer-reviewed first-in-human results for GB-0669.

Source: Generate BiomedicinesCompanyOpen source ↗

Healthcare AI Clinical & Scientific Leadership

High Confidence

Sep 26, 2026

Generate develops machine-learning platforms for programmable protein therapeutics and biological design.

Source: Generate BiomedicinesCompanyOpen source ↗

Generative Protein Platform

High Confidence

Sep 26, 2026

Generate develops machine-learning platforms for programmable protein therapeutics and biological design.

Source: Generate BiomedicinesCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026
Employer Strength
High Confidence
95
3 evidence items
View evidence

Supporting signal

Healthcare AI Employer Strength

Healthcare AI Employer Strength

High Confidence

Oct 7, 2026

Generate disclosed a $273 million Series C in September 2023 and nearly $700 million in equity financing since 2020. This historical capital-backing event is independent of its general AI, laboratory and clinical execution capabilities; the announcement's runway expectation is not treated as current liquidity.

Source: Generate Biomedicines official materialCompanyOpen source ↗

Healthcare AI Employer Strength

High Confidence

Sep 26, 2026

Generate combines AI research, wet-lab biology, drug development and clinical execution capabilities.

Source: Generate BiomedicinesCompanyOpen source ↗

Biotech Execution

High Confidence

Sep 26, 2026

Generate combines AI research, wet-lab biology, drug development and clinical execution capabilities.

Source: Generate BiomedicinesCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026
Market Transferability
High Confidence
91
3 evidence items
View evidence

Supporting signal

Healthcare AI Skill Transferability

Healthcare AI Skill Transferability

Medium Confidence

Oct 9, 2026

Generate's Chroma documentation specifies diffusion-based protein generation, random graph neural networks for long-range reasoning, equivariant 3D layers and constraint-conditioned sampling; it also provides model code, weights and an interactive notebook.

Source: Generate BiomedicinesprimaryOpen source ↗

Healthcare AI Skill Transferability

High Confidence

Sep 26, 2026

ML and generative modeling skills transfer broadly, while protein therapeutics and wet-lab specialization constrain full portability.

Source: Generate BiomedicinesCompanyOpen source ↗

Protein Ai Portability

High Confidence

Sep 26, 2026

ML and generative modeling skills transfer broadly, while protein therapeutics and wet-lab specialization constrain full portability.

Source: Generate BiomedicinesCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026

Matrix Employer Score™ components are supported by structured employer evidence, versioned methodologies, and confidence ratings.

Hiring Signal

Hiring

Employer Signal

95

Hiring Opportunity

94

Company Overview

Employer Snapshot

AI Category

Generative Biology / AI Drug Discovery

Primary Location

Somerville, Massachusetts, USA

Founded

2018

Employees

300

Why AI Talent Watches Generate Biomedicines

Generate Biomedicines applies machine learning and generative biology to design novel proteins and therapeutic medicines.

Why Join

Use generative AI and biological modeling to design entirely new therapeutic proteins.

Employer Intelligence

Hiring: Hiring

Talent Competition: Exceptional

Technical Bar: Exceptional

AI Talent Matrix Confidence: High confidence

Talent Intelligence

Matrix Employer Score™ Breakdown

View Matrix Employer Score™ Methodology →

Core Employer Intelligence

AI Impact

88

AI Leadership

97

Employer Strength

95

Market Transferability

91

Career & Workplace

Career Growth

100

Compensation

100

Engineering Culture

100

Work-Life Balance

80

Evidence-Backed Signals

Career Upside

100

Talent Density

100

Hiring Opportunity

94

Talent & Career Programs

Remote Policy

Hybrid

Visa Sponsorship

Case by Case

Internship Program

Available

New Grad Program

Available

AI Focus

Generative Biology / Protein Design / AI Drug Discovery

Flagship Products

Generate Platform

Data & Methodology

How AI Talent Matrix interprets this employer

Last Updated

9/5/2026

AI Talent Matrix Confidence

High confidence

AI Talent Matrix scores and signals are comparative employer-intelligence indicators and should not be interpreted as guarantees of hiring, compensation, career outcomes, or individual fit.

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