Senior Scientist / Principal Scientist, Induced Proximity

Help shape Nurix’s induced proximity strategy beyond targeted protein degradation. In this hands-on role, you’ll design and run the assays that validate targets, characterize mechanisms and inform go/no-go decisions, working alongside chemistry, biology and biochemistry partners. It’s a chance to grow your scientific, and potentially leadership, experience in a fast-evolving area of drug discovery with direct exposure to platform-level strategy.

Position Description

The Opportunity

Nurix Therapeutics, Inc. is seeking a motivated scientist to support and help execute the non-degradative induced proximity research strategy. This individual will contribute hands-on scientific expertise to programs beyond targeted protein degradation, helping advance target validation, mechanism characterization, and candidate optimization efforts. Working closely with the Senior Vice President of Induced Proximity and cross-functional partners in chemistry, biology, and biochemistry, this person will help translate strategic priorities into experimental plans, generate and interpret data that inform go/no-go decisions, and contribute ideas on emerging modalities and technologies worth exploring. This is an opportunity to grow scientific and possibly future leadership experience within a fast-evolving area of drug discovery, with direct exposure to strategic decision-making at the platform level.
Design, execute, and troubleshoot experiments at the bench; building and running biochemical, biophysical, and cell-based assays to interrogate induced proximity mechanisms and drive program decisions
Contribute to identification, validation, and prioritization of targets amenable to induced proximity approaches (protein sequestration, gene regulation, stabilizers, and related mechanisms)
Evaluate and integrate new and emerging induced proximity modalities into the strategic roadmap
Partner with computational/structural biology to advance rational design and predictive modeling of ternary complex formation
Present experimental data, interpretations, and recommendations to project teams and executive leadership
Ensure programs meet key milestones from discovery through candidate nomination and IND-enabling work
Stay current on the competitive and scientific landscape; publish/present externally to build company visibility as needed

What You’ll Bring

Required Qualifications

Ph.D. in biology, biochemistry, molecular biology, or a related field
5+ years of relevant industry drug discovery experience, including significant direct work on induced proximity modalities (targeted protein degradation, molecular glues, bifunctional degraders, or similar)
Hands-on biophysical and biochemical assay development to quantify ternary complex formation and cooperativity (e.g. TR-FRET/HTRF, NanoBRET, AlphaLISA, SPR, ITC, MST, and DSF)
Experience in biochemical assay development of the relevant proximity-induced reaction (e.g. ubiquitination, phosphorylation, acetylation, etc.)
Cell-based mechanistic pharmacology: Western blot, HiBiT/NanoLuc kinetic readouts, flow cytometry, reporter assays, and dose–response and washout/resynthesis studies to establish on-target mechanism
Cell line engineering and functional genomics utilizing CRISPR knockout/knock-in, CRISPRa/CRISPRi, and siRNA to validate targets and interrogate effector dependencies
Target engagement and protein-stability methods: CETSA, NanoBRET target engagement, co-IP/pulldown, and cycloheximide-chase or half-life measurement
Deep mechanistic understanding of ternary complex biology and cooperativity, the ubiquitin–proteasome and autophagy–lysosomal pathways, non-degradative proximity mechanisms (protein sequestration, stabilization, induced phosphorylation/dephosphorylation, transcriptional regulation), and structure-based drug design
Rigorous experimental design and quantitative data analysis, including assay qualification and QC (e.g., Z′, dynamic range), curve fitting in GraphPad Prism or equivalent, screening-data handling (Genedata Screener or similar), and disciplined ELN documentation