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 users to paid offerings. - Hands-on experience writing production methods for Hamilton, Tecan, Opentrons, or equivalent liquid handlers. - Hands-on experience designing BLI or SPR assays, fitting kinetic curves, and troubleshooting assay results. - Practical experience with tools such as ESM, ProtT5, RFdiffusion, BindCraft, or equivalents, plus Python or similar scripting for automation and data analysis. - Biology, biochemistry, or life sciences knowledge, including protein structure, receptor biology, and scoring functions. - Experience with scientific software users, biotech sales cycles, peptide design, protein engineering, or drug discovery is valuable. Compensation & Benefits Consulting engagement compensation is $3,000 to $5,000 per month. Full-time conversion offers a base salary of $80,000 to $200,000 annually, depending on experience, plus equity. Visa sponsorship is not available. Location Hybrid, based in New York, United States, with increased on-site presence as internal screening operations launch. Originally posted on Himalayas