---
title: 'Principal Scientist, Target Binding at Generate Biomedicines'
canonical: 'https://feeny.ai/job/principal-scientist-target-binding-generate-biomedicines-somerville-nst4sw7htmp7'
type: 'job'
last_seen: '2026-10-30'
---

# Principal Scientist, Target Binding at Generate Biomedicines

- **Company:** Generate Biomedicines
- **Location:** Somerville, MA
- **Compensation:** $160k–$224k
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-30
- **Apply:** https://generatebiomedicines.com/open-positions?gh_jid=4722009006

## Job description

The Role:

Generate is seeking an accomplished Principal Scientist to lead Target Binding efforts within our Protein Analytics & Biophysics (PAB) department.

This individual will provide scientific and strategic leadership for protein–protein interaction, target-binding, and cell-binding measurements across multiple biotherapeutic discovery and development programs. The role will combine hands-on technical expertise, novel technology development, cross-functional program leadership, and direct management of junior scientists and research associates.

The successful candidate will be an established industry expert in quantitative biophysical assay development, particularly for challenging systems such as integral membrane proteins, lipid- associated targets, detergent-solubilized proteins, and multispecific molecules.

Here's how you will contribute:

- Lead Target Binding strategy and execution across multiple biotherapeutic programs, serving as a senior PAB representative on cross-functional teams.
- Design, develop, optimize, and oversee quantitative protein–protein interaction and cell- binding assays.
- Develop fit-for-purpose approaches to measure affinity, kinetics, stoichiometry, competition, thermodynamics, and other complex binding mechanisms.
- Lead assay development for challenging molecular systems, including integral membrane proteins, lipid-raft-associated targets, detergent-solubilized proteins, membrane mimetics, and multispecific molecules.
- Advance the Target Binding technology platform by evaluating emerging technologies and developing novel, automated, high-throughput, or computationally enabled measurement approaches.
- Establish standards for assay quality, instrumentation, data processing, reproducibility, and interpretation across the function.
- Apply quantitative, statistical, machine-learning, and agentic approaches to improve experimental design, data analysis, troubleshooting, and scientific decision-making.
- Partner with protein production, protein engineering, cell biology, pharmacology, prototyping lab, computational drug design, and therapeutic-application teams.
- Directly manage, mentor, and develop junior scientists and research associates, including providing technical direction, setting priorities, and supporting career development.
- Communicate complex technical findings and program recommendations to project teams, senior leadership, external collaborators, and technology partners.

The Ideal Candidate will have:

- Ph.D. in biochemistry, biophysics, analytical chemistry, protein science, chemical biology, or a related discipline, with at least 8+ years of relevant industry experience.
- Extensive experience developing and applying quantitative protein–protein interaction and target-binding assays in an industry setting.
- Deep expertise with multiple interaction-measurement technologies, including SPR, BLI, KinExA, and cell-binding assays.
- Strong understanding of the associated instrumentation, assay formats, sample-handling requirements, data-processing workflows, and troubleshooting strategies.
- Demonstrated success characterizing complex protein-protein interactions.
- Track record of developing novel protein-interaction measurement methods or building new technical capabilities.
- Experience leading scientific strategy across multiple cross-functional programs.
- Proven experience managing, mentoring, and developing scientists or research associates.
- Strong quantitative, statistical, communication, and problem-solving skills.

## Preferred Qualifications

- Experience with biotherapeutic analytics and developability assessment for antibodies, multispecifics, antibody–drug conjugates, engineered proteins, or other biologic modalities.
- Experience with laboratory automation, high-throughput experimentation, instrument integration, or computational data pipelines.
- Proficiency with scripting, quantitative modeling, data science, or machine-learning workflows.
- Practical experience using AI-enabled or agentic tools for data processing, experiment design, scientific analysis, or workflow automation.
- Record of publications, patents, external collaborations, or internally deployed platform technologies.

Leadership Attributes

- Recognized technical authority in protein–protein interaction measurement and biophysical assay development.
- Strategic, quantitative, and scientifically rigorous.
- Comfortable moving between hands-on experimentation, technology strategy, and program-level decision-making.
- Curious and willing to challenge established approaches when new technologies can improve scientific outcomes.
- Collaborative leader who develops people and builds organizational capabilities.

## About Generate Biomedicines

We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines.

Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation.

At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors.

Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Recruitment & Staffing Agencies: Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.

## #LI-RT1

Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.

Per Year Salary Range $160,000—$224,000 USD

## About Generate Biomedicines

## Company Overview
- **One-liner**: Generate Biomedicines is a clinical-stage generative biology company pioneering the use of machine learning to design and develop protein-based medicines on demand.
- **Entity Type**: Public (ticker: GBIO)
- **Headquarters**: Somerville, Massachusetts, USA (Boynton Yards and Andover locations)
- **Founded**: 2018
- **Founders**: Gevorg Grigoryan, Daria Hazuda, and others

## Core Business
- **Primary industry**: Biotechnology / Drug Discovery & Development
- **Target customers**: B2B (pharmaceutical partners) and patients (via clinical programs)
- **Mission statement**: "We don’t discover medicines—we design them," with a belief that speed is a moral obligation to patients.

## Products & Services
- **[Generate Platform™]**: An integrated computational and biohardware innovation stack that uses generative biology to design proteins with defined biological intent. It can generate up to a billion designed variants per cycle with cycle times as fast as ~8 days.
- **[GB-0895 (Anti-TSLP Antibody)]**: A next-generation anti-TSLP monoclonal antibody for severe asthma and COPD, currently in global Phase 3 trials. Designed for ultra-high affinity (106 fM binding, 20x improvement over tezepelumab) and an extended half-life (98 days, longest known among TSLP-targeting therapies), enabling twice-yearly subcutaneous dosing.
- **[GB-5267 (MUC-16 Armored CAR-T)]**: A cell therapy candidate for metastatic ovarian cancer, expected to enter Phase 1 in 1H26.
- **[GB-4362 (Free MMAE Toxin Neutralizer)]**: A first-in-class neutralizer designed for combination with MMAE-based antibody-drug conjugates (ADCs), with Phase 1 initiation in bladder cancer expected 1H26.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed; IPO in February 2026 raised net proceeds of approximately $370 million.
- **Key Metric**: $221.5 million cash balance at YE 2025, plus ~$370 million from IPO (early 2026).
- **Notable Investors/Partners**: Strategic collaborations with Amgen, Novartis, MD Anderson Cancer Center, and Roswell Park Comprehensive Cancer Center.
- **Growth Signals**: 5 clinical-stage programs enabled by the platform; initiated global Phase 3 studies for GB-0895; operating out of 140k+ square feet of lab and office space; has studied millions of proteins and generated 42,000 proteins built and tested.

## Competitive Advantages
- **Fully integrated computational-biohardware loop**: Machine learning drives generative design, which feeds directly into high-throughput experimentation (including proprietary CryoEM with four of the best microscopes in the world), and results continuously train the AI system — a "living feedback loop" that compounds over time.
- **Multimodal platform**: Can generate candidates across antibodies, CAR-T, and other protein modalities from a single core technology, enabling a pipeline that covers both immunology and oncology.
- **Record speed and scale**: Capable of generating up to a billion designed variants in ~8-day cycles, dramatically reducing the time and cost traditionally associated with drug discovery.
- **First-mover in next-gen anti-TSLP**: First known next-generation anti-TSLP antibody to enter the clinic (GB-0895) with a differentiated half-life profile that could enable twice-yearly dosing, a significant competitive edge in a large market.

## Strategic Focus
- **Clinical execution**: Advancing GB-0895 through global Phase 3 trials in severe asthma (with data in 2H27/1H28) and initiating late-stage development in COPD.
- **Pipeline expansion**: Moving GB-5267 (CAR-T) and GB-4362 (ADC neutralizer) into Phase 1 in 2026, expanding the platform's therapeutic scope.
- **Platform scaling**: Continuing to refine the generative biology engine to unlock new modalities and therapeutic areas, while deepening existing strategic collaborations with major pharma partners.
- **Organizational growth**: Building out the team across computational, wet-lab, clinical, and operational functions to support the growing pipeline.

## Why Work Here
- **Mission-driven**: The company is explicit that "speed is not just a competitive advantage—it’s a moral obligation." Employees are directly involved in designing drugs rather than discovering them, with a focus on getting treatments to patients faster.
- **Interdisciplinary culture**: The company emphasizes true integration across machine learning, biological engineering, and medicine. As stated on their site, "We are a close-knit group of cross-disciplinary experts... each conversant in one another’s fields, working together to create a new one."
- **Cutting-edge technology**: Access to unique computational and biohardware infrastructure, including "the four best CryoEM microscopes in the world" and a high-throughput experimental loop that powers AI training in real-time.
- **Values-driven leadership**: Explicit leadership behaviors include "value the knowledge we gain more than the knowledge we have," "bring creativity, tenacity, and ingenuity to every challenge," and "hold oneself and others to an obligation to dissent."
- **Hybrid/office policy**: Not explicitly stated, but the company operates large physical facilities in Somerville and Andover, MA, and offers free parking, monthly subway passes, or subsidized commuter rail passes, suggesting a significant on-site expectation.
- **Comprehensive benefits**: Competitive pay, employee stock option plan, health/vision/dental insurance, long- and short-term disability, life insurance, EAP, retirement savings, paid parental/adoption/caregiver leave, free weekly lunch, and stocked kitchen.
- **Growth trajectory**: As a newly public company with a cash-rich balance sheet and multiple catalysts over the next 12–24 months, the company offers significant career growth potential for those who want to be part of building a "transcendent company" that redefines an industry.

## Sources
1. [generatebiomedicines.com](https://generatebiomedicines.com/)
2. [generatebiomedicines.com/careers](https://generatebiomedicines.com/careers)
3. [generatebiomedicines.com/about-us](https://generatebiomedicines.com/about-us)
4. [investors.generatebiomedicines.com](https://investors.generatebiomedicines.com/)
5. [Non-Confidential Overview (April 2026)](https://investors.generatebiomedicines.com/wp-content/uploads/2026/04/Generate-Biomedicines-Non-Confidential-Overview_April-2026-1.pdf)

## Other roles at Generate Biomedicines

- [Senior Clinical Trial Manager](https://feeny.ai/job/senior-clinical-trial-manager-generate-biomedicines-remote-c0vrxewkybbt)
- [Senior Manager, Vendor Management](https://feeny.ai/job/senior-manager-vendor-management-generate-biomedicines-remote-321ee8qrkrzj)
- [Director, Clinical Procurement](https://feeny.ai/job/director-clinical-procurement-generate-biomedicines-remote-qakj30d4dthm)
- [Senior Director, Clinical Operations Business & Excellence](https://feeny.ai/job/senior-director-clinical-operations-business-excellence-generate-biomedicines-42e1kvgmzdf6)
- [Senior Scientist I, Computational Protein Design](https://feeny.ai/job/senior-scientist-i-computational-protein-design-generate-biomedicines-somerville-caa239jvj23x) — Somerville, MA
- [Scientist I, Computational Protein Design](https://feeny.ai/job/scientist-i-computational-protein-design-generate-biomedicines-somerville-6n26sf6x6wva) — Somerville, MA
- [Scientist II, Functional Bioassays & High Throughput Screening](https://feeny.ai/job/scientist-ii-functional-bioassays-high-throughput-screening-generate-ajjehf28b7v6) — Somerville, MA
- [Senior Scientist I, Protein Analytics & Biophysics](https://feeny.ai/job/senior-scientist-i-protein-analytics-biophysics-generate-biomedicines-somerville-84zvsqcb2gzh) — Somerville, MA
- [Scientist I, Synthetic Biology](https://feeny.ai/job/scientist-i-synthetic-biology-generate-biomedicines-somerville-xfvg8ftyvq3y) — Somerville, MA
- [Associate Director, Biotherapeutic Production and Characterization](https://feeny.ai/job/associate-director-biotherapeutic-production-and-characterization-generate-vhxshbh7baa1) — Somerville, MA