Senior Computational and Experimental Scientist

About the Role

Join a lean team at an early-stage AI-driven biotech company, working across computational protein design, experimental biology, and scientific software. You will help close the design-make-test-model loop, using experimental results to improve models and deliver more useful sequences.

What You'll Do

• Refine discrete diffusion, protein language, and structure prediction models, including model architectures and constrained redesign workflows. • Operate and improve a scientific inference platform, and analyze user behavior, usage patterns, and churn. • Write, debug, and deploy protocols for liquid-handling robots and manage screening instrumentation. • Run BLI or SPR assays end-to-end, from assay design and sample preparation through kinetic fitting and quality control. • Diagnose experimental and computational failure modes, including mass transport, nonspecific binding, aggregation, and poor referencing. • Design sequences, synthesize or express them, measure kinetics, update models, and iterate on improved candidates. • Support scientific users and customer adoption with accurate, personalized outreach and an understanding of biotech buying processes.

What We're Looking For

• At least 2 years building or operating protein design, protein language, or structure prediction systems in a design-make-test workflow. • At least 3 years in biotech or life sciences software go-to-market, solutions engineering, or customer success, including converting free…