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Generate Biomedicines

Scientist I, Oncology

Generate Biomedicines is hiring a Scientist I, Oncology. It pays $102k-$143k a year and Level rates it ; you can apply on Generate Biomedicines.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Elisa, Alphalisa and Meso Scale Discovery among its tools and skills.
  • Level classes it as a mid-level role.
  • Generate Biomedicines has 19 other open roles on Level.
  • Posted within the past week.

AI in this role

Scientist role in oncology discovering and developing protein-based therapeutics using cell biology and assay execution.

elisaalphalisameso-scale-discovery
cancer-biologycell-cultureflow-cytometrymolecular-biologydrug-discovery

The Role: 

Generate:Biomedicines is seeking a Scientist I with expertise in cancer biology to support the discovery and development of protein-based oncology therapeutics. As a member of a multidisciplinary team, this individual will plan and execute cellular assays, interpret results, and generate reproducible data that inform project decisions. This highly laboratory-focused role requires sound scientific judgment, rigorous documentation, and effective collaboration. The core focus will be oncology, with opportunities for a curious scientist to expand their drug discovery and development experience across other therapeutic areas as project needs evolve.

Here's how you will contribute:

  • Establish, maintain, and characterize cancer cell lines, tumor organoids, and primary cells, including cells from primary human tumor samples, to support target validation and therapeutic evaluation.
  • Generate and validate engineered cell lines using approaches such as transfection, transduction, and CRISPR-based editing to modulate target expression or introduce assay reporters.
  • Design, execute, and troubleshoot assays of cell viability, proliferation, cytotoxicity, target binding, and receptor or antibody internalization, including tumor and immune cell co-cultures where appropriate.
  • Apply flow cytometry, live-cell imaging, plate-based assays, and immunoassays such as ELISA, AlphaLISA, and Meso Scale Discovery (MSD), together with molecular biology and biochemistry techniques, to characterize therapeutic activity and mechanism of action.
  • Analyze, interpret, and present experimental findings, recommending next steps that support project decisions and pipeline progression.
  • Collaborate with cross-functional partners in Automation, Computational Sciences, Protein Sciences, and High-Throughput Screening to advance shared project goals.
  • Maintain complete and accurate experimental records and stay current with relevant advances in oncology, immuno-oncology, and biologics research.

The Ideal Candidate will have:

  • Ph.D. in cancer biology, cell biology, immunology, immuno-oncology, or a related field; or a master’s degree in a related field with six years of relevant experience; or a bachelor’s degree in a related field with eight years of relevant experience; or eleven years of relevant experience.
  • Strong foundation in cancer biology and hands-on mammalian cell culture expertise, including work with cancer cell lines and primary cells.
    • Hands-on experience with in vivo tumor models, such as xenograft, patient-derived xenograft (PDX), or syngeneic models, including assessment of tumor growth, treatment response, and pharmacodynamic biomarkers.
  • Experience with cell line engineering and standard molecular biology and biochemistry techniques, such as cloning, PCR/RT-qPCR, and Western blotting.
  • Experience developing and troubleshooting quantitative cell-based assays, including cytotoxicity, viability, or internalization assays.
  • Proficiency in flow cytometry and experience measuring proteins or cytokines using platforms such as ELISA, AlphaLISA, or MSD.
  • Ability to independently plan experiments, select appropriate controls, analyze and interpret quantitative data, and recommend follow-up studies.
  • Experience communicating scientific findings and collaborating within a multidisciplinary project team.

Preferred Qualifications:

  • Experience with tumor organoids, primary human tumor samples, or other patient-derived ex vivo models.
  • Experience characterizing antibodies, multispecific proteins, or antibody conjugates in oncology, ideally in an industry setting.
  • Experience with tumor and immune cell co-cultures, high-content or live-cell imaging, high-throughput screening, or machine learning-enabled drug discovery.

What Will Help You Thrive:

  • Scientific curiosity and rigor; the ability to solve moderately complex experimental problems with sound judgment; clear written and verbal communication; and a collaborative, flexible approach in a fast-paced environment

 

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$102,000—$143,000 USD

How we rate this

Scientist I, Oncology at Generate Biomedicines rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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

Cancer BiologyCell CultureFlow CytometryMolecular BiologyDrug DiscoveryElisaAlphalisaMeso Scale Discovery

Questions you could be asked

  1. Tell me about a project where cancer biology was part of your work. What did you do?
  2. Tell me about a project where cell culture was part of your work. What did you do?
  3. Tell me about a project where flow cytometry was part of your work. What did you do?
  4. Tell me about a project where molecular biology was part of your work. What did you do?
  5. Tell me about a project where drug discovery was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Cancer Biology, Cell Culture, Flow Cytometry, Molecular Biology, and Drug Discovery. 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.

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