# Computational and Experimental Scientist at Clera

Computational and Experimental Scientist at Clera in New York. Remote, full-time, paying $3k–$5k/mo. Posted November 6, 2026.

- Company: Clera
- Location: New York
- Workplace: Remote
- Job type: Full-time
- Pay: $3k–$5k/mo
- Experience: 3+ years
- Posted: 2026-11-06
- Apply: https://jobs.ashbyhq.com/Clera/6c14cf1b-3b77-4c8d-8b27-09207e8230bb/application
- Source: https://jobmagic.ai/jobs/computational-and-experimental-scientist-clera-y581p5

## Requirements

- 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.

## Description

### 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.