Safeguards Enforcement Analyst, Bio Harms

Anthropic$245K — $285K *
US-Anywhere
+ 3 other locationsRemote
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a bio-related field or equivalent professional experience.
  • Experience in Trust & Safety or policy enforcement at platform scale, especially with generative AI tools.
  • Proficiency in using AI tools to create data dashboards for metric tracking and process improvement.
  • Ability to analyze complex situations and make informed decisions under pressure.
  • Self-motivated with a proactive approach to identifying trends and implementing improvements.
  • Clear writing skills to bridge technical bio concepts for various audiences.

Responsibilities

  • Enforce Usage Policies to mitigate bio risks from AI systems.
  • Own and improve enforcement monitoring workflows for bio-harms.
  • Monitor platform activity for emerging biological and CBRNE threats.
  • Design automated enforcement systems that balance accuracy and scalability.
  • Conduct thorough investigations of potential policy violations.
  • Propose enhancements to detection methods and review workflows.
  • Collaborate with Engineering and Data Science to optimize enforcement systems.

Benefits

  • Opportunity to work at the intersection of biosecurity and AI enforcement.
  • Engagement with interdisciplinary teams, enhancing collaborative skills.
  • Exposure to complex biological and AI-related challenges.
  • On-call responsibilities fostering quick response skills in critical situations.
  • Supportive of visa sponsorship for qualifying candidates.
Full Job Description
About the role

As an Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm.

This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems.

Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
  • Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems.
  • Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes.
  • Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action.
  • Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface.
  • Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions.
  • Proactively surface trends and propose improvements to detection methods and review workflows.
  • Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations.
  • Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems.
  • Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations.
Minimum qualifications
  • Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field.
  • Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows.
  • Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts.
  • Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure.
  • Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative.
  • Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders.
Preferred qualifications
  • Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence.
  • An understanding of where real-world biological risk actually lies - adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction.
  • Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health.
  • Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks.


The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$245,000-$285,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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