Senior Research Associate

Team:
Neo Link Platform

Location:

Boston, MA

Employment Type:

Contract

Proxima (formerly VantAI) is advancing an AI-native approach to drug discovery by making protein interactions programmable. Our platform brings together foundation-model machine learning, 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 partnering us with an elite group of sophisticated and dedicated VCs including DCVC, Nvidia’s Nventures, AIX, Yosemite among others.

Neo-1 is our all-atom foundation model that combines state-of-the‑art structure prediction and molecular generation in a single system. Neo-1 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, Proxima is developing an advanced structural interactomics platform built on proprietary cross‑linking mass spectrometry (XLMS) technology and a lab equipped with next‑generation mass spectrometry instrumentation. This platform produces proteome‑scale interactome maps and helps identify small molecules that modulate protein interactions. Together with Neo‑1, it creates an integrated system capable of co‑folding protein complexes while also generating candidate small molecules to influence those interactions.

Based on these proprietary capabilities, Proxima is developing a robust pipeline of first‑in‑class medicines across several therapeutic areas including immunology and inflammation, cardiometabolic and aggregate‑driven diseases. The company is currently advancing multiple assets through preclinical development that address both novel and well validated targets.

We are seeking a hands‑on Contract Senior Research Associate to join the Neo Link Platform team and drive execution of cross‑linking mass spectrometry (XLMS) experiments that fuel Proxima’s structural interactomics platform. This role will focus on running XLMS sample preparation and LC‑MS workflows end‑to‑end, learning routine maintenance of our next‑generation mass spectrometry instrumentation, and contributing to the scale‑up of proteome‑wide interaction mapping.

You will work closely with proteomics scientists, computational biologists, and chemists to generate the proprietary XLMS data that trains Neo‑1 and powers our drug discovery pipeline.

• Execute XLMS experiments end‑to‑end, including protein sample preparation, crosslinking reactions, and LC‑MS data acquisition

• Operate and maintain HPLC and LC‑MS systems; learn routine instrument maintenance including column installation, source cleaning, calibration, and system performance QC

• Perform protein expression and purification (bacterial and mammalian systems) to support XLMS substrate preparation

• Troubleshoot experimental and instrument issues and contribute to continuous improvement of sample preparation workflows

• Maintain accurate experimental records in the electronic lab notebook and adhere to strong documentation standards

• Support platform scale‑up by writing and refining SOPs, training teammates, and identifying automation opportunities

• Collaborate closely with computational biologists, chemists, and other scientists to integrate XLMS data into structural biology and drug discovery workflows

• Bachelor’s/Masters degree in Biochemistry, Chemistry, Biology, or a related scientific discipline

• 5+ years of hands‑on industry experience in a drug discovery, proteomics, or analytical chemistry setting

• Demonstrated proficiency in mass spectrometry workflows, with hands‑on LC‑MS experience required

• Hands‑on HPLC experience, including method setup, column selection maintenance, and troubleshooting

• Protein purification experience (e.g., Ni‑NTA affinity chromatography, size‑exclusion chromatography, ion exchange; AKTA or equivalent FPLC systems)

• Strong troubleshooting skills and excellent attention to detail

• Ability to manage multiple experiments and timelines independently in a fast‑paced…