Skip to content

Open nowPosted 15 days ago

Principal Scientist, Target Binding

Generate Biomedicines23 open roles

Pay
$160,000 – $224,000 a year
Where
Somerville, MA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPrincipal Scientist, Target BindingGenerate Biomedicines · Somerville, MA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Generate Biomedicines's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market. Generate Biomedicines postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 15 days ago

Generate Biomedicines median: 20 days open

The posting

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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Generate Biomedicines's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Generate Biomedicines's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Generate Biomedicines's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.