Senior Computational and Experimental Scientist

Openkrill; United States; Hybrid; USD 80.000 - 200.000; Vollzeit

Benefits dieser Stelle

Equity

Zusammenfassung

Openkrill is seeking a talented professional to advance protein design and computational biology workfows across design-make-test cycles. You will refine models, operate an inference platform, and develop robust protocols for liquid handlers and screening systems.

You will perform BLI/SPR assays, analyze kinetics, and troubleshoot results while supporting customers through the adoption process and technical outreach. Hybrid role based in New York area.

Qualifikationen

• 2+ years building or operating protein design, language, or structure prediction systems in a design-make-test workflow.
• 3+ years in biotech or life sciences software GTM, solutions engineering, or customer success, 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.
• Experience with tools like ESM, ProtT5, RFdiffusion, BindCraft, plus Python for automation and data analysis.

Aufgaben

• Refine discrete diffusion, protein language, and structure prediction models and redesign workflows.
• Operate and improve a scientific inference platform and analyze usage patterns.
• Write, debug, and deploy protocols for liquid-handling robots and manage screening instrumentation.
• Run BLI or SPR assays end-to-end from design to kinetic fitting and QC.
• Diagnose experimental and computational failure modes and iterate on improved candidates.
• Support scientific users and customer adoption with accurate outreach and understanding of biotech buying processes.

Kenntnisse

Protein design workflows

Python automation

Biotech software GTM

Liquid-handling protocols

Modeling & data analysis

Ausbildung

Biology or life sciences degree

Tools

ESM

ProtT5

RFdiffusion

BindCraft

Jobbeschreibung

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.