---
title: 'Senior Director, Protein Analytics & Biophysics at Generate Biomedicines'
canonical: 'https://feeny.ai/job/senior-director-protein-analytics-biophysics-generate-biomedicines-somerville-svzx43cekjwx'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Director, Protein Analytics & Biophysics at Generate Biomedicines

- **Company:** Generate Biomedicines
- **Location:** Somerville, MA
- **Compensation:** $210k–$290k
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-11
- **Apply:** https://generatebiomedicines.com/open-positions?gh_jid=4712073006

## Job description

The Role:

Generate:Biomedicines is seeking a scientifically bold, highly collaborative Senior Director to lead Protein Analytics & Biophysics within our Therapeutics division. This leader will set the vision for how Generate measures the biophysical, biochemical, and interaction properties of protein therapeutics across the design-build-test-learn cycle, from conventional analytical characterization through next-generation pooled, miniaturized, and nanoscale measurement platforms.

We are looking for a field-leading biophysicist and platform builder who has not only operated best-in-class analytical and protein interaction workflows, but has also invented, scaled, or industrialized new ways to measure protein therapeutic attributes at orders-of-magnitude higher throughput and lower sample consumption. The right person will be energized by the challenge of connecting micro- and nanoscale assay innovation with Generate's AI/ML-enabled protein design engine.

This role will own the continued excellence of conventional protein analytics, developability, and protein-protein interaction technologies while building the next generation of at-scale experimental systems. The ideal candidate brings deep technical breadth, a quantitative mindset, and a clear point of view on how pooled assays, DNA/barcode-enabled readouts, synthetic biology, automation, microfluidics, advanced detection, and computational modeling can transform how protein therapeutics are evaluated.

Success in this role will require enterprise leadership: developing leaders and senior scientists, building an inclusive and high-accountability culture, partnering deeply across Protein Sciences, Prototyping, Technology, Data Sciences, Machine Learning, Biology, and CMC/Tech Ops, and translating an ambitious scientific vision into robust capabilities that improve decision quality, speed, and scale.

Here's how you will contribute:

- Set and drive the multi-year scientific and organizational vision for Protein Analytics & Biophysics, aligning functional strategy with Generate's platform, portfolio, and company priorities.
- Define the next generation of biophysical, biochemical, developability, and protein-protein interaction measurement capabilities for protein therapeutics, with a particular focus on miniaturized, pooled, high-throughput, and nanoscale approaches.
- Lead the continued evolution of conventional analytical and interaction workflows, including HPLC/UPLC, LC/MS, electrophoretic, thermal stability, light scattering, plate-based, and biosensor-based platforms, ensuring rigor, reproducibility, and decision relevance.
- Build a strategy that connects conventional analytical and biosensor technologies with emerging pooled or massively multiplexed approaches, enabling Generate to measure protein attributes at scales that match the output of generative design.
- Partner with Prototyping, Technology, Automation, Data Sciences, Machine Learning, Protein Sciences, Biology, and CMC/Tech Ops to design, operationalize, validate, and scale new assay concepts into production-quality capabilities.
- Identify, evaluate, and implement external and internal technologies that can unlock smaller sample volumes, richer attribute profiles, higher throughput, improved sensitivity, or new classes of protein interaction and developability data.
- Establish data standards, quality expectations, assay controls, and analytical frameworks that allow high-throughput measurements to be used confidently for model training, candidate triage, and program decision-making.
- Ensure the function generates high-quality, decision-enabling data across Discovery, Candidate Selection, and early Development, including developability, stability, specificity, affinity, kinetics, and manufacturability-relevant attributes.
- Drive operational excellence across the function, including prioritization, resource planning, milestone delivery, metrics, continuous improvement, and clear communication of tradeoffs.
- Represent the function with executive stakeholders and external partners, translating complex scientific strategy into clear, compelling, and actionable plans.

Leadership Responsibilities

- Lead as a strong people leader and culture builder who develops trust, accountability, scientific ambition, and collaboration across a multidisciplinary organization.
- Build, coach, and develop a high-performing team of managers, senior scientists, and technical experts, creating clear growth paths and succession strength within the function.
- Guide the team through transition with empathy and clarity while raising the technical bar for platform innovation, cross-training, and multidisciplinary biophysics.
- Foster an inclusive, transparent, and feedback-rich environment where individuals are empowered to take initiative, share knowledge, and continuously improve.
- Set a high bar for both technical excellence and partnership, making collaboration across functions a visible standard for success.
- Partner effectively across functions to advance shared company goals.
- Develop leadership capability across the organization by mentoring managers, growing future leaders, and strengthening Generate's broader scientific culture.
- Manage external collaborations, CRO strategy, academic relationships, vendor partnerships, and technology scouting efforts that increase scale, speed, and scientific differentiation.

The Ideal Candidate will have:

- Ph.D. in Biophysics, Biochemistry, Molecular Biology, Chemical Biology, Bioengineering, Synthetic Biology, Protein Engineering, or a related scientific discipline; or equivalent depth of industry experience.
- 12+ years experience in biopharma, biotechnology, synthetic biology, protein engineering, or a related field, with substantial leadership experience in protein analytics, biophysics, developability, and protein-protein interaction characterization.
- Significant progressive experience in biopharma, biotechnology, synthetic biology, protein engineering, or a related field, with substantial leadership experience in protein analytics, biophysics, developability, and protein-protein interaction characterization.
- A track record of building, inventing, or scaling novel assay platforms for protein therapeutics, especially miniaturized, pooled, multiplexed, microfluidic, barcode-enabled, sequencing-enabled, cell-based, or nanoscale biophysical or biochemical measurements.
- Demonstrated ability to move beyond single-sample, low-throughput paradigms and create experimental systems that generate high-dimensional, quantitative data at the scale needed for AI/ML-enabled protein design.
- Deep technical expertise across conventional analytical and biophysical methods, such as HPLC/UPLC (SEC, RP, HIC, IEX), LC/MS, CE-SDS, cIEF, DSF, DSC, DLS, SEC-MALS, SPR, BLI, and related technologies.
- Strong understanding of protein-protein interaction measurement, including affinity, kinetics, specificity, cross-reactivity, epitope/binning, avidity, and context-dependent binding behavior.
- Strong quantitative mindset and experience using data quality, assay statistics, modeling, and informatics to shape scientific strategy, technology investment, and operational decision-making.
- Experience partnering closely with prototyping, automation, engineering, computational, and technology teams to translate exploratory assay concepts into robust, reproducible, and scalable capabilities.
- Demonstrated success as a senior people leader, including leading leaders, developing senior scientific talent, and scaling high-performing teams through periods of change.
- Exceptional collaboration and communication skills, with a clear track record of influencing across complex, matrixed organizations and engaging executive stakeholders with clarity, candor, and credibility.
- Experience advancing biologics programs across Discovery and early Development, with an understanding of developability considerations, candidate selection, and downstream impact.
- Commitment to building an inclusive, collaborative, and high-accountability culture where people and science can thrive together.

## Preferred / Nice to Have

- Experience creating platform capabilities that support machine learning-enabled discovery, closed-loop experimental systems, or large-scale design-build-test-learn cycles.
- Experience with pooled screening strategies, DNA-encoded or barcode-linked readouts, sequencing-based measurements, display technologies, high-throughput synthetic biology, or massively multiplexed protein interaction datasets.
- Experience developing assays that require very low material input, operate at micro- or nanoscale, or integrate microfluidics, acoustic dispensing, advanced imaging, high-content detection, or next-generation automation.
- Experience serving as an external scientific spokesperson, thought leader, founder-like platform builder, or conference presenter in biophysics, protein analytics, developability, protein engineering, or high-throughput interaction biology.
- Familiarity with regulatory expectations and analytical strategy in support of candidate selection and early development.

Who Will Love This Job:

This is an opportunity to define the future of biophysics at Generate:Biomedicines. You will lead an exceptional team at the intersection of biological engineering, machine learning, and medicine, and you will shape how next-generation analytical and protein interaction technologies unlock scale, insight, and speed for our protein design platform. Your leadership will directly influence both the science we build and the culture we create.

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 $210,000—$290,000 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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