{"id":453585,"url":"https://alion.io/job/proxima-technologies-proteomics-scientist","title":"Proteomics Scientist","company":{"id":77316,"name":"Proxima Technologies","domain":"proxima.ae","url":"https://alion.io/company/proxima-ae","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":7,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":161,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":192000,"period":"year","method":"role_country_seniority_unknown","sample_n":3270},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Mass Spectrometry","optional":false}],"status":"live","first_seen_at":"2026-07-13T14:28:20Z","employer_posted_date":"2026-07-13","last_verified_at":"2026-11-05T04:04:41Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":114},"description":"Proteomics Scientist\nLocation: This role is based in-person at our Boston lab, MA\nWe're not able to support remote or hybrid arrangements for this position\nAbout Proxima\nProxima (formerly VantAI) is discovering the next generation of proximity therapeutics by making protein interactions programmable. 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. We’ve recently closed an oversubscribed seed round with an elite group of VCs including DCVC, NVIDIA’s NVentures, AIX, Yosemite among others.\nNeo is our all-atom foundation model that combines state-of-the-art structure prediction and molecular generation in a single system. Neo enables rapid exploration of chemical and structural space for high value, previously intractable targets, and in particular unlocks small molecule proximity therapeutics like molecular glues with AI for the first time.\nIn parallel, we are developing an advanced structural interactomics platform (NeoLink) built on proprietary proteomics technology and a lab equipped with next-generation mass spectrometry instrumentation. This platform produces proteome-scale maps of protein interactions and identifies small molecules that modulate proximity. Together with Neo, it creates an integrated system capable of co-folding protein complexes while generating candidate small molecules to influence those interactions.\nProximity-based therapeutics represent one of most promising frontiers in modern drug discovery with the potential to treat previously intractable diseases and target ‘undruggable’ proteins. We’re building the tech and the team to make that happen. Come join us!\nAbout the Role:\n 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. As a Proteomics Scientist, you will play a critical role in building out NeoLink and advancing critical R&D workflows for data generation and internal programs.\nYour tasks and responsibilities:\nDesign, optimize and execute the structural and chemical proteomic workflows (cross-linking, affinity purification, proximity biotinylation, ligandability profiling) that form the core of NeoLink\n\nPartner with computational biologists and machine learning scientists to design experiments that produce high-quality, analysis-ready data.\n\nMaintain, operate, and coordinate the usage of LC/MS instruments\n\nYour skills:\nExcellent sample preparation skills for mass spectrometry-based proteomics\n\nExperience in structural proteomics (cross-linking, covalent footprinting) or chemical proteomics (activity/affinity-based protein profiling, affinity selection)\n\nComfort operating in a fast-paced, results-oriented environment\n\nExpertise in handling and maintaining LC and MS instruments, in particular Thermo Fisher Neo Vanquish LC systems and Orbitrap or Astral mass spectrometers.\n\nKnowledge of proteomic data analysis methods and software tools\n\nAbility to accurately and reliably document and present scientific data\n\nStrong communication skills and proficiency in English\n\nCandidates currently completing a PhD or postdoc in an XLMS or chemical proteomics lab are welcome to apply - 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