---
title: "Computational and Experimental Scientist"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-computational-and-experimental-scientist-e49b6fc4-7b28-4836-9f63-f2b7a2abe3a3"
apply_url: "https://jobs.ashbyhq.com/clera/0e8c110a-8a90-4628-9849-749e12a46c54"
workplace: onsite
location: "San Francisco"
employment_type: full-time
seniority: mid
role: software-engineering
region: united-states
skills: ["python"]
date_posted: 2026-09-17T17:06:35.789Z
first_seen_by_remjobs: 2026-09-17T17:36:30.141Z
---

# Computational and Experimental Scientist

**Clera** · San Francisco

Apply: https://jobs.ashbyhq.com/clera/0e8c110a-8a90-4628-9849-749e12a46c54

## About Clera

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## About the role

##### About the Role

This is a full-stack scientist role at an early-stage AI-driven protein and peptide design company, sitting directly on a lean core team of 5 to 7 and reporting to the CEO. You will own the entire design-make-test-model loop, from sequences out of the inference platform to kinetics data back in, closing that loop end-to-end rather than handing off between functions.

##### What You'll Do

- Improve and extend pocket-conditioned discrete diffusion models and companion folding models, including refinements, new attention heads, and hierarchical reasoning.

- Operate the AI inference stack at scale and diagnose usage patterns across signups, churn, and customer segments.

- Own fluid-handling robotics and plate automation (Hamilton, Tecan, Opentrons, or equivalent), writing and shipping reliable protocols.

- Own BLI and SPR end-to-end: assay design, immobilization, regeneration, referencing, dilution series, kinetic fitting, QC, and failure-mode diagnosis.

- Write protocols for cloud labs and manage internal screening instrumentation.

- Work the full stack across receptor biology, structure, scoring, and platform output.

- Take sequences from the platform, run kinetics, update models, and ship improved sequences.

##### What We're Looking For

- 2+ years building or operating discrete diffusion models, protein language models (such as ESM or ProtT5), or structure prediction systems in an active design-make-test cycle, not just academic fine-tuning.

- Personally written and debugged liquid-handler protocols on robotic platforms and shipped them to production.

- Personally fitted BLI or SPR kinetic curves end-to-end and diagnosed failure modes such as mass transport, tip avidity, nonspecific binding, aggregation, or hook effect.

- Fluent with sequence design tools (such as RFdiffusion or BindCraft) as inputs and outputs, not as black boxes.

- Able to explain why a predicted ddG failed on a sensor and trace the root cause.

- Proficient in Python or equivalent scripting for automation and kinetic curve fitting.

- Strong background in biology, biochemistry, or life sciences, with receptor biology and protein structure literacy.

- Operator mentality: resourceful, action-oriented, and comfortable executing under pressure at an early-stage company.

- Background in gene editing, gene therapy, or receptor trafficking is a plus.

- Prior experience at biotech accelerators or as an operator at a biotech startup or exit is a plus.

##### Compensation and Benefits

Initial consulting engagement: $3,000 to $5,000 per month. Full-time conversion: base salary of $80,000 to $200,000 depending on profile, with meaningful equity and deal-contingent upside. No visa sponsorship is available.

##### Location

Hybrid, with increased on-site presence expected once internal screening infrastructure is established (roughly 3 to 6 months out). Primary location is San Francisco, California, US.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-computational-and-experimental-scientist-e49b6fc4-7b28-4836-9f63-f2b7a2abe3a3