Proxima Logo

Proxima

Proteomics Scientist

Reposted 23 Days Ago
Be an Early Applicant
In-Office
Boston, MA, USA
Entry level
In-Office
Boston, MA, USA
Entry level
Design, optimize, and execute structural and chemical proteomics workflows (cross-linking, affinity purification, proximity biotinylation, ligandability profiling), operate and maintain LC/MS instruments, and partner with computational and ML teams to generate high-quality, analysis-ready proteomics data. Document and present scientific results.
The summary above was generated by AI

Proteomics Scientist

Location: This role is based in-person at our Boston lab, MA

We're not able to support remote or hybrid arrangements for this position

About Proxima

Proxima (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.

Neo 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.

In 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.
Proximity-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!

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. 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.

Your tasks and 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

  • Partner with computational biologists and machine learning scientists to design experiments that produce high-quality, analysis-ready data.

  • Maintain, operate, and coordinate the usage of LC/MS instruments

Your skills:

  • Excellent sample preparation skills for mass spectrometry-based proteomics

  • Experience in structural proteomics (cross-linking, covalent footprinting) or chemical proteomics (activity/affinity-based protein profiling, affinity selection)

  • Comfort operating in a fast-paced, results-oriented environment

  • Expertise in handling and maintaining LC and MS instruments, in particular Thermo Fisher Neo Vanquish LC systems and Orbitrap or Astral mass spectrometers.

  • Knowledge of proteomic data analysis methods and software tools

  • Ability to accurately and reliably document and present scientific data

  • Strong communication skills and proficiency in English

Candidates currently completing a PhD or postdoc in an XLMS or chemical proteomics lab are welcome to apply - we're interested in talent about to graduate and looking to move into industry

Similar Jobs

7 Days Ago
In-Office
Cambridge, MA, USA
Senior level
Senior level
Healthtech • Social Impact • Biotech • Pharmaceutical
Build and maintain scalable, reproducible pipelines and data infrastructure for large-scale bottom-up proteomics (DIA/DDA). Design quantification, normalization, statistics, and atlas data models. Provide scientist-facing QC tools and metadata/sample tracking, manage storage and deposition to public repositories, and co-author methods while enabling open, versioned releases and integrations with orthogonal datasets.
Top Skills: AlphadiaAWSBatch ComputeContainerizationDia-NnEvosep LcFragpipeGeoGitGitMassiveMaxquantMsfraggerNextflowObject StorageOrbitrap Astral ZoomPrideProteomexchangePythonSkylineSnakemakeSpectronautSpot ComputeSraWdl
19 Days Ago
In-Office
Watertown, MA, USA
115K-215K Annually
Senior level
115K-215K Annually
Senior level
Healthtech • Biotech • Pharmaceutical
The role involves leading targeted proteomics research, developing and optimizing assays, and collaborating with project teams to inform drug discovery decisions.
Top Skills: Lc-MsMass SpectrometryNano-LcOrbitrapSkyline
2 Hours Ago
Hybrid
Boston, MA, USA
77K-202K Annually
Mid level
77K-202K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Engineer and optimize Palo Alto Networks XSIAM security operations capabilities by tuning alerts, validating rules, monitoring performance, investigating incidents, automating workflows, onboarding data sources, and integrating security tools. The role supports threat intelligence, vulnerability management, cloud and network security, forensics, intrusion detection, secure systems, documentation, and client-facing cybersecurity consulting while maintaining current knowledge of Palo Alto Networks technologies and emerging threats.
Top Skills: Cloud SecurityCortex XdrEncryption ProtocolsGoogle TechnologiesIntrusion Detection SystemsMalware AnalysisMicrosoft SentinelNetwork ForensicsNetwork SecurityPalo Alto Networks XsiamPrisma CloudPythonRest ApisSIEMSoarSplunkThreat IntelligenceVulnerability Management

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account