Senior Computational and Experimental Scientist
About this role
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
