Computational and Experimental Scientist

About the Role

What You'll Do

What We're Looking For

Compensation & Benefits

Location

• Hybrid in New York, United States, with increased on-site presence expected as internal screening operations are established.

Qualifications

• Typically 3 to 11 years of relevant experience, including experience in biotech or scientific software roles such as solutions engineering, customer success, or a hybrid operator position.
• Hands-on experience building or operating protein design, discrete diffusion, protein language, or structure prediction systems within an experimental design-make-test cycle.
• Practical experience with tools such as ESM, ProtT5, RFdiffusion, BindCraft, or equivalent approaches.
• Direct experience writing and debugging production methods for Hamilton, Tecan, Opentrons, or equivalent liquid-handling systems.
• Hands-on BLI or SPR kinetic curve fitting, assay design, and diagnosis of assay failure modes.
• Ability to code robot methods and analyze kinetic data using Python or equivalent scripting tools.
• Understanding of biology, biochemistry, receptor biology, protein structure, and scoring functions, with the ability to investigate when predictions do not match experimental results.
• Experience completing a full loop from sequence design through synthesis or expression and kinetics measurement to model updates and iteration.
• Comfort with scientific customer engagement, including personalized outbound communication and navigating buying processes across organizations of different sizes.
• Compensation & Benefits
• Consulting engagement: $3,000 to $5,000 per month. Full-time conversion base salary: $80,000 to $200,000 annually, depending on experience, with equity and deal-contingent upside. Visa sponsorship is not available.
• Location
• Hybrid in New York, United States, with increased on-site presence expected as internal screening operations are established.

Responsibilities

• Improve and extend discrete diffusion and protein folding models, including model refinements, attention mechanisms, and hierarchical reasoning.
• Operate and scale an inference platform, and analyze usage patterns such as signups, churn, and customer segments.
• Develop, debug, and maintain production protocols for liquid-handling robots and plate automation.
• Design and run BLI and SPR assays, including immobilization, regeneration, referencing, dilution series, kinetic fitting, and quality control.
• Write precise protocols for external laboratory partners and manage screening instrumentation.
• Connect receptor biology, protein structure, scoring, and model outputs to practical scientific workflows.
• Use experimental kinetics data to update models and improve designed sequences.
• Typically 3 to 11 years of relevant experience, including experience in biotech or scientific software roles such as solutions engineering, customer success, or a hybrid operator position.
• Hands-on experience building or operating protein design, discrete diffusion, protein language, or structure prediction systems within an experimental design-make-test cycle.
• Practical experience with tools such as ESM, ProtT5, RFdiffusion, BindCraft, or equivalent approaches.
• Direct experience writing and debugging production methods for Hamilton, Tecan, Opentrons, or equivalent liquid-handling systems.
• Hands-on BLI or SPR kinetic curve fitting, assay design, and diagnosis of assay failure modes.
• Ability to code robot methods and analyze kinetic data using Python or equivalent scripting tools.
• Understanding of biology, biochemistry, receptor biology, protein structure, and scoring functions, with the ability to investigate when predictions do not match experimental results.
• Experience completing a full loop from sequence design through synthesis or expression and kinetics measurement to model updates and iteration.
• Comfort with scientific customer engagement, including personalized outbound communication and navigating buying processes across organizations of different sizes.
• Consulting engagement: $3,000 to $5,000 per month. Full-time conversion base salary: $80,000 to $200,000 annually, depending on experience, with equity and deal-contingent upside. Visa sponsorship is not available.
• Hybrid in New York, United States, with increased on-site presence expected as internal screening operations are established.