Senior Scientist / Principal Scientist, Induced Proximity

Nurix • Brisbane, CA

4d • Onsite

About The Position

Nurix Therapeutics is seeking a motivated scientist to support and help execute its research strategy in non-degradative induced proximity. The role contributes hands-on scientific expertise to programs beyond targeted protein degradation, advancing target validation, mechanism characterization, and candidate optimization. Working with the Senior Vice President of Induced Proximity and cross-functional partners in chemistry, biology, and biochemistry, the scientist translates strategic priorities into experimental plans, generates and interprets data for go/no-go decisions, and contributes ideas about emerging modalities and technologies. The position offers exposure to platform-level strategic decision-making and the opportunity to grow scientific and potentially leadership experience in a fast-evolving area of drug discovery.

The scientist designs, executes, and troubleshoots bench experiments, including biochemical, biophysical, and cell-based assays to investigate induced proximity mechanisms and guide program decisions. The role also contributes to target identification and prioritization, evaluates emerging modalities, collaborates with computational and structural biology on rational design and ternary-complex modeling, and communicates data and recommendations to project teams and executive leadership. Programs are expected to meet milestones from discovery through candidate nomination and IND-enabling work. The scientist keeps current with the scientific and competitive landscape and may publish or present externally as needed.

This is an onsite position in Brisbane, California. The posted salary ranges are $162,000–$175,700 for Senior Scientist and $187,700–$208,600; the description does not specify which title corresponds to the latter range. The ranges apply to roles based in the San Francisco Bay Area, with offers depending on relevant experience, technical expertise, and alignment with role requirements.

Requirements

• Ph.D. in biology, biochemistry, molecular biology, or a related field.
• At least 5 years of relevant industry drug discovery experience, including significant direct work on induced proximity modalities such as targeted protein degradation, molecular glues, bifunctional degraders, or similar approaches.
• Hands-on experience developing biophysical and biochemical assays to quantify ternary-complex formation and cooperativity, such as TR-FRET/HTRF, NanoBRET, AlphaLISA, SPR, ITC, MST, or DSF.
• Experience developing biochemical assays for relevant proximity-induced reactions, such as ubiquitination, phosphorylation, or acetylation.
• Experience with cell-based mechanistic pharmacology, including Western blot, HiBiT/NanoLuc kinetic readouts, flow cytometry, reporter assays, and dose-response and washout/resynthesis studies to establish on-target mechanism.
• Experience with cell-line engineering and functional genomics, including CRISPR knockout/knock-in, CRISPRa/CRISPRi, and siRNA, to validate targets and investigate effector dependencies.
• Experience with target-engagement and protein-stability methods, including CETSA, NanoBRET target engagement, co-IP/pulldown, and cycloheximide-chase or half-life measurement.
• Deep mechanistic understanding of ternary-complex biology and cooperativity; ubiquitin–proteasome and autophagy–lysosomal pathways; non-degradative proximity mechanisms; and structure-based drug design.
• Strong experimental design and quantitative data-analysis skills, including assay qualification and QC (such as Z′ and dynamic range), curve fitting in GraphPad Prism or equivalent, screening-data handling in Genedata Screener or similar, and disciplined ELN documentation.
• Strong record of cross-functional collaboration with biology, chemistry, and DMPK teams.
• Excellent scientific communication skills, including experience presenting to senior leadership.
• Ability to work collaboratively across multiple groups.
• Strong organization, communication, and presentation skills.
• Self-driven and enthusiastic, with the ability to deliver in a dynamic environment.
• Curiosity and flexibility to learn new skills.
• Creativity, productivity, and strong problem-solving skills.

Nice To Haves

• Publication record and/or patents in induced proximity or targeted degradation.
• Experience with computational tools for ternary-complex prediction or AI/ML-driven drug design.
• Familiarity with non-degradative modalities beyond classical bifunctional degraders, such as glues, LYTACs, AUTACs, MrTACs, RIPTACs, TCIPs, Tracers, or DACs.
• The preferred-qualifications section also lists a Ph.D. in a relevant scientific field with at least 4 years of relevant postgraduate industry or academic research experience, or an M.S. with at least 8 years of relevant industry experience.

Responsibilities

• Design, execute, and troubleshoot bench experiments, including biochemical, biophysical, and cell-based assays to interrogate induced proximity mechanisms and inform program decisions.
• Identify, validate, and prioritize targets suitable for induced proximity approaches, including protein sequestration, gene regulation, stabilizers, and related mechanisms.
• Evaluate new and emerging induced proximity modalities and contribute them to the strategic roadmap.
• Partner with computational and 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.
• Help ensure programs meet milestones from discovery through candidate nomination and IND-enabling work.
• Monitor the competitive and scientific landscape and publish or present externally as needed to build company visibility.
• Collaborate across organizational groups and contribute to experimental planning and strategic decision-making.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree