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Generate Biomedicines

Senior Scientist I, Protein Analytics & Biophysics

Generate Biomedicines is hiring a Senior Scientist I, Protein Analytics & Biophysics. It pays $125k-$165k a year and Level rates it ; you can apply on Generate Biomedicines.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Mass Spectrometry, Chromatography and Spr.
  • Level classifies it as a senior role.
  • Level lists 19 other open roles at Generate Biomedicines.
  • The role was posted within the past week.

AI in this role

Lead analytical characterization and biophysical workflows to support protein discovery for a machine learning-powered therapeutics platform.

mass-spectrometrychromatographyspr

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.

 

 

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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

How we rate this

Senior Scientist I, Protein Analytics & Biophysics at Generate Biomedicines rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Mass SpectrometryChromatographySpr

Questions you could be asked

  1. What's a project where you used Mass Spectrometry hands-on?
  2. Walk me through how you've used Chromatography in your day-to-day work.
  3. What are the limits of Spr that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Mass Spectrometry, Chromatography, and Spr. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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