Computational and Experimental Scientist
- Location
- New York
- Work mode
- Remote
- Employment type
- Full-time
About the job
ABOUT THE ROLE
Join a lean team at an early-stage AI-driven biotech company, owning computational and experimental work across protein design, laboratory testing, and model improvement. You will close the design-make-test loop, translating sequences into kinetics data and using results to improve the next round of designs.
WHAT YOU'LL DO
- Improve discrete diffusion and companion folding models for peptide and protein design, including architecture refinements and hierarchical reasoning.
- Operate and refine an inference platform, investigate usage patterns, and help scientists apply its outputs.
- Write, debug, and maintain production protocols for liquid-handling robots and plate automation.
- Run BLI and SPR workflows end to end, from assay design and immobilization through kinetic fitting and quality control.
- Develop clear protocols for external laboratories and operate internal screening instrumentation.
- Connect receptor biology, protein structure, scoring, and experimental results to identify failure modes and improve designs.
- Support scientific platform users and customer workflows, including personalized technical outreach and navigating biotech and pharma purchasing processes.
WHAT WE'RE LOOKING FOR
- Typically 3 to 11 years of relevant experience, including experience in biotech or life sciences software and customer-facing technical or commercial work.
- Hands-on wet-lab experience and a background in biology, biochemistry, or a related life science.
- Experience building or operating protein design, protein language, discrete diffusion, or structure prediction models in an experimental design-make-test cycle.
- Practical use of tools such as ESM, ProtT5, RFdiffusion, BindCraft, or equivalents.
- Personally developed and debugged production methods for Hamilton, Tecan, Opentrons, or equivalent liquid-handling platforms.
- End-to-end BLI or SPR kinetic fitting experience, including diagnosing assay and measurement failure modes.
- Python or equivalent scripting skills for automation and kinetic data analysis, plus an understanding of receptor biology, protein structure, and scoring.
- Experience operating inference systems at scale, improving model architectures, and working across experimental biology, bioinformatics, and machine learning.
COMPENSATION & BENEFITS
Consulting 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, along 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.
From Clera's careers page (Ashby), checked 7 Nov 2026.
How to apply
- Select Apply on getclera.com. It opens Clera's own application form in a new tab, run on Ashby.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Clera will reply to you directly. No real employer asks you for money to apply.
Posted 6 Nov 2026 · checked 7 Nov 2026 · Report this job