---
title: 'Scientist I, Synthetic Biology at Generate Biomedicines'
canonical: 'https://feeny.ai/job/scientist-i-synthetic-biology-generate-biomedicines-somerville-xfvg8ftyvq3y'
type: 'job'
last_seen: '2026-10-16'
---

# Scientist I, Synthetic Biology at Generate Biomedicines

- **Company:** Generate Biomedicines
- **Location:** Somerville, MA
- **Compensation:** $102k–$130k
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-16
- **Apply:** https://generatebiomedicines.com/open-positions?gh_jid=4722249006

## Job description

The Role:

Generate’s Prototyping Lab builds the experimental systems that let us measure protein function at unprecedented scale. By combining synthetic biology, large DNA libraries, high-throughput assays, and machine learning, the team creates workflows that turn complex biological questions into rich, usable datasets.

We’re looking for two Scientists with a strong record in experimental synthetic biology to develop pooled screens capable of testing hundreds of thousands of protein variants in parallel to identify protein binders and modulators. You’ll shape these experiments via DNA library design, pooled in vitro protein display, and NGS-based enrichment analysis. For one of the two roles, we are looking for a Scientist who additionally has experience in mammalian cell engineering and membrane protein studies. Experience in computational modeling or statistical analysis would help you connect experimental design to the quality and usefulness of the resulting data.

You’ll work closely with Protein Sciences and Machine Learning teams to build screening approaches that deliver clear, quantitative insight into protein function. The role offers substantial scope to originate and advance new technologies, with close collaboration across a well-resourced biotech team.

Here's how you will contribute:

- Build pooled screening workflows to achieve scalable protein binding and functional readouts, from assay setup through data interpretation.
- Collaboratively establish reliable assay conditions, quantitative measures, and handoff plans that enable project teams to maximize platform utility.
- Identify opportunities to test unconventional hypotheses, applying the strongest concepts for drug program acceleration and supporting IP filings.
- Synthesize findings into clear recommendations, and present them in presentations and in writing to colleagues across disciplines.
- Use quantitative reasoning, modeling, and critical literature review to inform experimental choices.

The Ideal Candidate will have:

- PhD in synthetic or systems biology, bioengineering or a related field with 0-1 year of experience; alternatively, a bachelor’s or master’s degree with at least 6 years of highly relevant experience.
- Hands-on experience designing and running pooled binding screens, ideally using both purified proteins and cell-based assays.
- For one of the roles, we are seeking strong cell-culture skills, including experience engineering cell lines for screening applications using methods such as CRISPR, lentiviral transduction, or transposon-based integration; experience working with membrane proteins is also highly preferred.
- Experience designing and building pooled DNA libraries, and using next-generation sequencing to track enrichment in selection campaigns.
- Familiarity with recombinant protein production, purification, and/or binding assays is an advantage.
- Ability to interpret complex screening data and write scripts in Python or a similar language; familiarity with AI-assisted coding tools such as Cursor or other LLM-based platforms.
- Applies quantitative reasoning and sound experimental judgment to assess data quality, troubleshoot assays, and guide next steps.
- Takes ownership of applied biology projects from initial concept through execution, analysis, and delivery.
- Brings intellectual curiosity to new technical challenges, shares expertise readily, and helps colleagues grow through collaboration and mentorship.
- High level of cross-functional autonomy and self-motivation.

Who will love this job:

- Biologists who integrate computational insight with experimentation to tackle complex problems.
- Experimentalists who enjoy making difficult targets, including membrane proteins, tractable for pooled binding screens.
- Platform builders who value assay robustness, data quality, and interpretable results alongside throughput.

## #LI-HM1

## 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.

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 $102,000—$130,000 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)

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