Senior Research Scientist, AI Bio Capabilities Verification

SecureBio

. Design and run in vitro validations of capabilities demonstrated computationally by LLMs and biological AI models .

Posted 11/11/2026full-timeCambridge • Massachusetts • United StatesSenior💰 $195,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in experimental design and execution within biological research, particularly in the context of AI applications. Proficient in managing wet-lab teams and ensuring rigorous adherence to research ethics and biosecurity standards.

Highest-signal resume keywords

PhD In VirologyExperimental Design SkillsHands-On Wet-Lab ExperienceBiological AI Tools ExperienceWorking Fluency In Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power AnalysisControls ManagementConfound ManagementBiological Risk AssessmentProtein DesignSequence ModelsLiquid-Handling AutomationShort Project Cycle ManagementBiosecurity Information HandlingResearch Ethics

Soft Skills

Calibrated JudgmentCommitment To DocumentationDiscretion With Confidential Information

Tools & Technologies

BenchlingLIMS SoftwareClaude CodeCodex

Industry Keywords

BSL-2 AgentsBiotech Startup ExperienceBiosecurity PolicyThreat AssessmentCounterterrorism Work

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and run in vitro validations of capabilities demonstrated computationally by LLMs and biological AI models
Own experimental design rigor across verification studies, including power, controls, bias mitigation, replicability, and confound management
Translate candidate verification tasks into executable, safe experiments using informative proxy systems
Critically assess results and contextualize them within major threat models
Work with the evals team to turn verification findings into in silico correlates
Oversee the wet-lab technical team in implementing and executing studies
Contribute to specification and biological task design for studies of AI uplift of human biology-research performance
Design and execute rigorous, accessible demonstrations for policymakers and frontier labs
Contribute to reports, papers, and the public dashboard of trends in AI biology capabilities

Requirements

What you’ll need

A PhD in virology, molecular biology, synthetic biology, protein design, or a closely related field, plus several years of post-PhD experience
Equivalent depth from other paths may be considered
Hands-on wet-lab depth in at least one relevant area
Past experience working with ≥ BSL-2 agents
Strong experimental design skills, including power analysis, controls, and confound management applied to small-n studies
Calibrated judgment about biological risk
Comfort with novel, non-standardized work and short, intensive project cycles
Commitment to research ethics, documentation, and reproducibility
Ability to handle confidential and sensitive biosecurity information with discretion
Alignment with SecureBio's mission of preventing catastrophic pandemics
Practical experience with biological AI tools, such as protein design models or sequence models
Preferred: Experience in a biotech startup or capability-building setting
Preferred: Working fluency in Python or R
Preferred: Experience with Benchling or other LIMS software
Preferred: Experience with liquid-handling automation or agentic LLM tools such as Claude Code or Codex
Preferred: Familiarity with biosecurity policy, threat assessment, or counterterrorism work
Preferred: Experience working with AI developers or in a regulated or NDA-heavy environment

Benefits

Comp & perks

Comprehensive healthcare coverage, including health, dental & vision insurance
Yearly mental health allowance
Flexible work hours
Unlimited paid time off (PTO)
Minimum 12 weeks fully-paid parental leave
Fully-paid conference sponsorships
Yearly professional development allowance
Employer 401(k) match up to 4% of total salary
Referral bonus of up to $5,500 for successful candidate referrals