Generate Biomedicines
Scientist I, Oncology
- Location
- Somerville, MA (MA)
- Posted
- Posted 1h ago
- Source
- Greenhouse (employer's applicant tracking system)
- Category
- R&D/Science
- Industry
- Pharma/Biotech
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From the employer's posting
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. …
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