Proxima
Proteomics Scientist
Boston
Sponsorship not specifiedDetected 9 days ago
Machine LearningData AnalysisMass SpectrometryCommunication
About the role
- NeoLink is Neo's bridge to the physical world: we leverage proteomics to directly assay molecular interactions at an amino-acid level of resolution, enabling a feedback loop where machine-learning models directly explore and learn from biology.
- Experience in structural proteomics (cross-linking, covalent footprinting) or chemical proteomics (activity/affinity-based protein profiling, affinity selection)
Responsibilities
- Design, optimize and execute the structural and chemical proteomic workflows (cross-linking, affinity purification, proximity biotinylation, ligandability profiling) that form the core of NeoLink
- Maintain, operate, and coordinate the usage of LC/MS instruments
Skills
- Excellent sample preparation skills for mass spectrometry-based proteomics
- Comfort operating in a fast-paced, results-oriented environment
- Knowledge of proteomic data analysis methods and software tools
- Strong communication skills and proficiency in English
Benefits
- Partner with computational biologists and machine learning scientists to design experiments that produce high-quality, analysis-ready data.
Company info
- Our platform brings together frontier AI models, a scalable data generation engine, and a partnership track record exceeding $5B in collaborations across the world's leading biopharma and tech organizations.
- In parallel, we are developing an advanced structural interactomics platform (NeoLink https://www.vant.ai/neo-1#neolink) built on proprietary proteomics technology and a lab equipped with next-generation mass spectrometry instrumentation.
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