---
title: 'Senior Scientist I, Protein Analytics & Biophysics at Generate Biomedicines'
canonical: 'https://feeny.ai/job/senior-scientist-i-protein-analytics-biophysics-generate-biomedicines-somerville-84zvsqcb2gzh'
type: 'job'
last_seen: '2026-10-30'
---

# Senior Scientist I, Protein Analytics & Biophysics at Generate Biomedicines

- **Company:** Generate Biomedicines
- **Location:** Somerville, MA
- **Compensation:** $125k–$165k
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-10-30
- **Apply:** https://generatebiomedicines.com/open-positions?gh_jid=4721988006

## Job description

The Role:

Generate Biomedicines is looking for a talented Senior Scientist I to join the Protein Analytics & Biophysics team within Protein Sciences.

This role will lead and contribute to analytical characterization, separation science, and biophysical workflows that assess protein quality, stability, developability, and molecular interactions in support of discovery programs and Generate Biomedicines’ machine learning-powered platform. The successful candidate will bring broad technical expertise, strong scientific judgment, and the ability to represent Protein Analytics & Biophysics on cross-functional project teams.

The role is hands-on and collaborative, with responsibility for advancing methods, developing fit-for-purpose workflows, troubleshooting complex experiments, interpreting data, and helping the team respond to evolving program and platform needs. The position also offers opportunities to contribute to novel technologies at the interface of protein analytics, molecular barcoding, mass spectrometry, and machine-learning-enabled discovery.

Here's how you will contribute:

- Lead and execute hands-on analytical and biophysical workflows to assess protein stability, aggregation, self-association, polyreactivity, and other developability attributes.
- Develop, optimize, and troubleshoot separation workflows for protein characterization, including chromatography and related separation methods.
- Perform and expand binding analyses, with a strong emphasis on SPR and related kinetic or affinity-based technologies.
- Contribute to mass spectrometry workflows that characterize protein identity, molecular mass, heterogeneity, and modifications, and support integration of MS data with biophysical and separation-based measurements.
- Apply scientific principles creatively to develop and adapt methods for new sample types, protein formats, assay conditions, and project questions.
- Design experiments, establish appropriate controls, interpret data, and recommend follow-up studies with increasing independence.
- Work directly with project teams to define analytical plans, generate project data, communicate results and limitations, and support scientific decisions.
- Serve as a technical and strategic representative for Protein Analytics & Biophysics on assigned projects and contribute to cross-functional discussions and planning.
- Provide technical leadership within assigned methods, including leading method-development efforts, evaluating new assays, improving workflows, and helping establish best practices.
- Operate, maintain, and troubleshoot relevant laboratory instrumentation and automated platforms.
- Contribute to emerging approaches involving molecular barcoding, mass spectrometry, proteomics, and machine-learning-enabled data integration as program needs evolve.
- Support training, knowledge sharing, documentation, and continuous improvement within Protein Analytics & Biophysics.
- Collaborate closely with scientists across Protein Sciences, Technology, computational and machine-learning teams, and other partner functions in a fast-paced, interdisciplinary environment.

The Ideal Candidate will have:

- Ph.D. in biochemistry, biophysics, analytical chemistry, protein science, or a related discipline with 4+ years of relevant research experience; or M.S. with 8+ years of relevant experience; equivalent experience may be considered.
- Strong hands-on expertise in biophysical characterization of proteins, including stability, aggregation, self-association, polyreactivity, or related developability assessments.
- Practical experience with protein separation science and chromatography, such as SEC, IEX, HIC, capillary electrophoresis, or related methods.
- Experience with SPR or related binding technologies is strongly preferred; experience with BLI or other kinetic and affinity-based assays is also valuable.
- Experience with general mass spectrometry, proteomics, structural mass spectrometry, molecular barcoding, or related technologies is preferred; a willingness to develop these skills is also valued.
- Demonstrated ability to independently plan experiments, troubleshoot complex workflows, interpret data, and recommend next steps.
- Demonstrated method-development experience, including the ability to apply established scientific principles creatively to address new analytical questions or improve existing workflows.
- Ability to represent a technical and strategic function on cross-functional project teams and communicate scientific conclusions, risks, and recommendations clearly.
- Experience providing technical guidance, mentoring colleagues, or leading method and workflow improvements.
- Interest in working at the interface of experimental protein analytics, data science, and machine-learning-enabled discovery is valuable.
- Willingness to learn new assays and instrumentation and remain actively engaged in laboratory work.
- Strong documentation, organization, written communication, and collaboration skills.

## 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 $125,000—$165,000 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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