Computational Biologist

Protocol Labs, Inc.; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Fully remote

Token/equity compensation

Small team impact

Job summary

Protocol Labs, Inc. seeks a computational biologist to bridge AI systems and wet labs. You will QA high-volume AI outputs, translate predictions into lab-ready protocols, and build validation pipelines to prevent costly experiments.

Ideal candidates hold a PhD in computational biology or related field, are proficient in Python or R, and can evaluate complex biological predictions at the software–biology interface. This remote role offers equity options.

Qualifications

• PhD in computational biology, bioinformatics, or related field.
• Proficient in Python and/or R for data analysis.
• Experience with computational validation methods (simulations, structural/sequence analysis).
• Strong critical thinking to evaluate AI-generated biological predictions.
• Experience interfacing software with wet-lab workflows.

Responsibilities

• QA AI outputs using simulations, structural analysis, and database checks.
• Translate AI predictions into executable lab protocols and CRO specs.
• Build and maintain validation pipelines to catch errors early.
• Manage hand-offs between digital predictions and physical experiments.
• Transform JSON outputs from agents into experimental procedures.

Skills

Python

R

Data analysis

Pipeline development

Critical evaluation

Bioinformatics

Education

PhD in Computational Biology, Bioinformatics, or related field

Tools

Emerald

Strateos

Job description

Bio is a decentralized science protocol that helps launch and grow AI-driven biotech research. It enables scientists to raise funds, create value from their work, and distribute that value directly to their communities. Since 2023, Bio has directed over $50m to global researchers, offering an alternative to traditional pharma funding. Backed by investors like Binance Labs, Northpond Ventures, and Animoca Brands, Bio accelerates real-world therapeutics across longevity, brain health, fertility, psychedelic science, and more.

The Role

We're looking for a computational biologist to serve as the bridge between our AI systems and physical reality. We need someone who can programmatically QA the high-volume outputs of our AI before they reach the bench - catching errors that are invisible to humans but obvious in the data.

What You'll Do

• Validate AI outputs using computational methods - simulations, structural analysis, database cross-referencing
• Translate AI predictions into executable protocols for cloud labs (Emerald, Strateos) or technical specs for CROs
• Build and maintain validation pipelines that catch errors before they waste lab resources
• Manage the "hand-off" between digital predictions and physical experiments
• Transform JSON outputs from our agents into experimental protocols and validation workflows

What We're Looking For

• PhD in Computational Biology, Bioinformatics, or related field preferred - or equivalent exceptional experience
• Strong proficiency in Python and/or R for data analysis and pipeline development
• Experience with computational validation methods (molecular simulations, structural analysis, sequence analysis)
• Ability to critically evaluate biological predictions and identify potential issues
• Comfort working at the interface of software and biology

Nice to Have

• Experience with cloud lab platforms (Emerald, Strateos, or similar)
• Background working with CROs or translating computational work to wet-lab execution
• Familiarity with AI/ML systems and their failure modes
• Experience red-teaming or adversarially testing scientific predictions

Why Bio

• Work at the cutting edge of AI-driven biology
• Fully remote - work from anywhere
• Small team where your expertise directly shapes our science
• Competitive compensation with token/equity component