Scientist I, Biochemistry and Biotherapeutics
On-siteBedford, Massachusetts, United States
Job Summary
Contribute to pipeline program and discovery project workstreams supporting target validation, candidate selection, and lead candidate optimization. Collaborate with internal research teams, external partners, and CROs to integrate experimental data with candidate selection criteria. Prepare high-quality internal presentations, scientific reports, external publications, or conference presentations, as appropriate. Stay current with emerging advances in immuno-oncology and relevant therapeutic modalities and communicate key findings internally. Provide scientific input within project teams and support the training or mentorship of junior team members. This role focuses on the discovery, characterization, and optimization of lead candidates through integrated protein engineering, biophysical, and mechanism-of-action studies for antibodies, multi-specifics, T cell engagers, and cytokines.
Required Qualifications
- PhD in Biochemistry, Biophysics, Immunology or a related scientific discipline
- 0–2 years of relevant post-PhD experience in an industry or academic research setting
- Hands-on experience with antibody discovery and optimization via combinatorial library-based technologies such as phage, yeast or mammalian display
- Experience with antibody, multi-specific, or other protein-based therapeutics, including formatting, production and high-throughput characterization via affinity (SPR, BLI, Carterra), epitope, developability and cellular functional assays (cytotoxicity, antibody internalization, MSD assay)
- Demonstrated ability to independently advance scientific projects, collaborate cross-functionally, and communicate scientific findings clearly through written reports, presentations, publications, patents, or related scientific outputs
- Proficiency with data analysis and molecular biology software, such as FlowJo, GraphPad Prism, Geneious, Snapgene, etc
- Collaborative, flexible, and team-oriented mindset, with the ability to contribute effectively within a dynamic research environment
Desired Qualifications
- Working knowledge of emerging and established protein engineering technologies such as AI/ML-based protein design and optimization (RFdiffusion, pMPNN, AlphaFold, Rosetta, MOE, structure-based rational mutagenesis, etc.)
- Computational expertise in NGS data analysis
- Working knowledge of structural biology, T cell and B cell biology, cancer immunology and immuno-oncology
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