Aisafety

Research Scientist (Biological Models), Chem-Bio London, UK About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is 6 th September 2026 , end of day, anywhere on Earth. About the team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We'rea close-knit, unusually interdisciplinary team-made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policyspecialistsand talented generalists-who work closely with other technical and policy teams across government. Over the next twelve months, CB will hugely scale the range and complexity of the evaluations and research programmes it carries out, and engage more deeply with partners in major AI labs, the wider biotech and pharma ecosystem and security services than it ever has before. About the role AI capabilities in the life sciences are advancing faster than at any point in history. Foundation models can now design novel proteins and interpret genomic sequences. Specialised biological models can both identify drug targets and design the compound to target them. These are extraordinary tools for scientific progress but also have the potential for harm if misused. This role is for a technical researcher who can contribute strong ML and computational biology expertise to that mission. You will sit within a group of research scientists, subject matter experts and engineers, leading empirical research into the risk-relevant capabilities of specialised biological models, including biomolecular structure and generative-design systems. You will translate ambiguous questions about what these models could enable into rigorous research questions and experimental designs, assess whether in-silico performance translates into meaningful experimental outcomes, and investigate whether technical safeguards can reliably limit potentially dangerous capabilities. It is a role at the interface of machine learning, computational biology and biosecurity: shaping which capabilities we investigate, how we measure their real-world significance, and how we translate our findings into decisions by government and other trusted partners. What you will own Evaluate the risk-relevant capabilities of specialised biological models: Translate important but ambiguous questions about the capabilities of state-of-the-art biological models (including biomolecular structure and generative design models) into measurable research questions and experimental designs. Connect computational and experimental evidence: Use published experimental results, biological datasets, expert review and, where appropriate, external wet-lab collaborations to assess whether in-silico performance translates into experimentally relevant outcomes. Identify feasibility and effectiveness of technical safeguards: Lead research into the feasibility and effectiveness of technical safeguards for specialised biological models, including access controls, model-level interventions, monitoring, detection and capability-limiting approaches. Track the technical frontier: Identify important developments in biological AI and determine which new models, methods or capabilities AISI should investigate. Help shape the team's research agenda as the field evolves. Communicate to decision-makers: Produce clear technical reports, briefings and recommendations for senior decision-makers within government and other trusted partners, translating a complex technical evidence base into actionable conclusions that inform wider cross-Government and industry efforts in this space. Collaborate across expert communities: Work closely with research scientists, engineers, biosecurity experts, policy teams, AI safety specialists and external scientific partners to ensure AISI's evaluations are technically rigorous and policy-relevant . Role requirements Deep, hands-onexperience working with biological machine learning models. You haveworked directly with biological AI models,such as protein design models,generative,structure prediction or scientific foundation models. Strong machine-learning background and applied engineering skills. You understand modern machine-learning methods and have practical experience training, fine-tuning, adapting or evaluating models using PyTorch or similar. You can write robust, readable and maintainable Python code. Computational biology expertise . You have sufficient understanding of molecular biology, biochemistry, structural biology, protein science, genomics or a related area to reason seriously about biological data, model outputs and the scientific validity of an evaluation. Strong empirical judgement. You know how to design experiments to answer pre-specified research questions , identify relevant baselines/controls for these experiments and critically interpret scientific res ults . You can identify limitations in public benchmarks, evidential gaps and cases where results are being over- or under-interpreted. Mission orientation. You are motivated to conduct technical research with direct public-interest and policy impact. You understand that work at the intersection of AI and biology may carry dual-use sensitivity and can operate with appropriate discretion . Collaborative interdisciplinary communication . You can explain complex findings and their uncertainty across audiences, from researchers, engineers, subject-matter experts, policy and security stakeholders , without blurring the bottom line, and work effectively with people from very different technical backgrounds. Strong candidates may also have: AI safety framework familiarity . U nderstanding of AI safety frameworks, model evaluations, responsible capability assessment, release governance or other approaches to managing risks from advanced AI systems. Relevant institutional experience. Experience working in or with organisations such as Dstl, MOD, DHSC, UKHSA, academia, public health bodies, frontier AI labs, biotech companies, national security organisations or equivalent institutions in other settings. Existing security clearance. Existing SC or DV clearance AI-enabled research experience. Experience using AI tools to accelerate research, analyse biological data, support literature review, develop benchmarks or improve scientific workflows. Deep domain expertise in a relevant area of the life sciences. Specialist knowledge in one or more fields such as protein design, structural biology, virology, immunology, genomics or epidemiology, giving you an additional lens through which to assess the significance of model capabilities and outputs. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London at least 3 days/week. You should be UK-based. Security Clearance Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required-we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You will also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. Selection process Applications are reviewed on a rolling basis. We encourage you to apply early. Screening interview - Lightweight conversation on relevant skills,motivationand fit. Technical take home test - A take-home exercise designed to test your applied subject matterexpertiseand judgement in context. You will receive this after the screening interview. Technical interview - Discussion of your work test with a current AISI SME. Behavioural interview - Deeper dive on non-technical skills needed to succeed in the role: communication skills,judgementand team dynamics. Senior leadership interview (30 min) - Final conversation with AISI senior leadership. What We Offer Impactyoucouldn'thave anywhere else Incredibly talented, mission-drivenand supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. . click apply for full job details

AI Security Institute in London is seeking a Research Scientist (Biological Models) to lead empirical research on risk-relevant capabilities of specialised biological models, including structure and generative design systems. You will translate ambiguous questions into rigorous studies and assess safeguards and real-world significance. The role sits at the interface of ML, computational biology and biosecurity, collaborating with scientists, engineers, and policy teams to inform government

# Field Strategy Specialist Produce strategies that shape what gets built to protect humanity.We're a nonprofit startup building the workforce that protects humanity. Since 2022, we've trained over 6,000 people in AI safety and biosecurity. Our alumni work at Anthropic, DeepMind, the UK AI Safety Institute, and dozens of other organisations shaping how transformative technologies affect the world.We're a small team based in London, expanding to San Francisco in 2026. We raised $25M in 2025.This year, we're launching an incubator to help entrepreneurs found new projects and ventures. Your field strategy documents would steer that incubator. Why this role matters Many important problems in AI safety and biosecurity are bottlenecked by a lack of strategic clarity. We have a vague intuition that something in X domain matters, but it's unclear what success looks like, what the bottlenecks are, whether we're on track, and what entrepreneurial people should go and build.As the world wakes up to the dangers posed by powerful AI, billions of dollars will flow into these fields. There are nowhere near enough well-scoped projects or teams ready to turn that capital into risk reduction.Your job is to figure out what should exist, why it doesn't exist yet, and make it legible enough that it can get built. You'll rapidly get to the frontier of a new field, talk to all the people who actually know things, form sharp views on what matters, and produce documents that are clear enough to shape what founders build and what funders back.We've developed a for how to do this, and we need you to run it. What you'll do Rapidly get to the frontier of a specific domain Read the best existing material on a problem area and orient fast. Build a map of the field: who's working on what, what's been tried, where the key disagreements are. Find the people with the most important tacit knowledge. Many of the juiciest insights live in people's heads, not on the public web. Talk to the people who actually know things Conduct 50 interviews in 50 days. You'll connect with people via cold outreach and warm introductions. Build trust quickly so people are willing to share non-public information with you. Ask sharp questions to extract non-obvious insights. Identify where experts agree, where they disagree, and why. Maintain a living document of critical unknowns: scientific uncertainties, technical feasibility questions, and cost estimates nobody has pinned down. Write briefs clear enough that researchers can pick them up and run. Produce strategy that shapes what gets built Identify the concrete projects an entrepreneur could build and scale, then communicate them to founders, funders and the broader field so people start moving quickly in the right direction. Entrepreneurs will stress-test your strategies against reality, and you'll iterate and update the strategy with them.A strong first six months looks like producing 3 field strategy docs that inform which ventures we help launch or how a funder deploys millions of dollars.You'll report to , and you'll work in a small team with other field strategists. Example projects You might work on questions like:Over time, we expect this role to shape not just individual interventions, but our broader view of which domains BlueDot should prioritize. About you We're especially excited about smart generalists . You do not need prior domain expertise in biosecurity, technical AI safety or policy to be a great fit.You might be a great fit if you: Learn extremely fast. You can become one of the most informed people in a narrow area within weeks. You read fast and synthesise conflicting views into a coherent take. Get spicy information out of people. You build trust fast, ask questions that get people excited, and become someone that experts want to introduce to people they admire. Think like a strategist, not a researcher. You care about what should actually get built. You notice when prevailing views don't add up due to groupthink, conflicts of interest, or untested assumptions, and you're willing to argue that intervention X matters more than Y with evidence and reasoning. But you change your mind fast when better evidence or arguments show up. Write clearly. Your strategy docs are sharp enough that a founder reads them and gains conviction, or a funder reads them and changes how they deploy capital. You don't waffle. Are entrepreneurial. You don't wait for permission. You're ambitious about what should exist in the world and you can't wait to make it happen.You might be a founder or former founder, a policy or operator generalist, a researcher who's dying to leave academia, or a PM / chief of staff with unusually good judgment.We encourage speculative applications - most strong candidates won't meet all these criteria! What we offer High-leverage work: Your output will directly shape new ventures, programs, and how millions of dollars gets deployed. Rapid learning: This role is designed for people who want to get to the frontier of important domains quickly. You'll talk to the best people in the field within your first few days. San Francisco preferred: We'd love you to work in-person with the team in SF, with flexibility for exceptional candidates. US visa sponsorship available. Freedom and autonomy: Our expense policy is "act in BlueDot's best interest", unlimited PTO, minimal bureaucracy. Creative freedom: We expect to shape the role around the strengths of an exceptional hire. $120-180k salary depending on experience, 10% employer 401(k) contribution (no match required), and comprehensive health insurance. Apply today Applying takes 20-30 minutes, and we encourage you to apply as soon as possible .We're evaluating candidates on a rolling basis and want to make an offer quickly.Read our . Application process Initial application 3-hour work test (paid) 50-minute interview In-person work trial in San FranciscoIf you have any questions about the role, email

A nonprofit startup focused on AI safety seeks a Field Strategy Specialist to shape strategies essential for launching new projects that mitigate risks in emerging technologies. The role involves mapping the field, conducting interviews, and producing clear strategy documents to guide founders and funders on impactful actions. An entrepreneurial mindset and ability to learn rapidly are crucial. The position offers a salary range of $120-180k, comprehensive benefits, and remote flexibility.

# Talent Specialist Find and hire top talent into our team, to enable us to scale the AI safety workforce.We're a nonprofit startup building the workforce that protects humanity .Since 2022, we've trained over 6,000 people in AI safety and biosecurity. Our alumni work at Anthropic, DeepMind, the UK AI Safety Institute, and dozens of other organisations shaping how transformative technologies affect the world.We're a small team based in London, expanding to San Francisco in Q2 2026. We raised $25M in 2025. Note: We're also hiring a , which is a more senior role that would also own hiring strategy. If you're not sure which role is right for you, just apply for the one that feels closest. We'll figure out which is the best fit together. We might hire for one or both roles depending on the applicant pool. Why this role matters We're about to grow fast. We've doubled over the past 4 months. Over the next 12 months, we'll scale from 7 to 25 people. At this size and pace, every hire we make will directly shape our culture and the work we can do. A bad hire will cost us months. A great hire will scale the number of people we can train and place into the field.This is a hands-on execution role. You'll be in the weeds every day: sourcing candidates, managing pipelines, coordinating interviews, and making sure no great candidate slips through the cracks because we were too slow.You'll report to and work closely with Dewi, BlueDot's CEO. What you'll do Source candidates relentlessly Map the AI safety, biosecurity, and startup talent landscape with an eye to finding exceptional people Engage and build relationships with people who aren't actively looking for a new role Run a fast, tight hiring process Own candidate communication and scheduling end-to-end Keep people moving through the pipeline, solve bottlenecks, chase feedback Manage our ATS (Ashby) so the team always has a clear picture of where every candidate stands Help to close candidates Prepare briefings for the team on how they can support with closing Tailor the pitch for top candidates based on what you've learned about their motivations and needs Build our employer brand Write job descriptions, social media posts, and other content that makes BlueDot visible and exciting to great talent Strengthen relationships with talent-dense communities, universities, and networks in the AI safety ecosystem About youWe're looking for someone sharp and high-agency who's energised to help scale a mission-driven startup. You might be a great fit if you: Have good judgement about people. You can quickly and accurately tell who will thrive in a high-agency, mission-driven startup, and who won't. Write well. Your comms are concise, actionable, and human (we receive so many AI-generated applications). Execute at speed. You feel a visceral urgency to fill BlueDot with great talent. Every day a person spends sitting in our hiring pipeline increases the risk that we lose them. You iterate quickly to find what works best. Care about the mission. You understand why AI safety and pandemic preparedness matter, and you're keen to learn more. You know that scaling BlueDot is essential for helping us protect humanity. Can sell the mission. You understand what motivates different types of people and how to pitch BlueDot as their best option. You're persuasive, charismatic and credible.Prior recruiting experience is a plus but isn't required. We care more about raw ability, speed, and taste for talent rather than years on the job.We encourage speculative applications, most strong candidates won't meet all these criteria. What we offer Massive impact: Every exceptional person you hire directly impacts BlueDot's ability to scale the AI safety workforce. San Francisco-based role: This is an in-person role in our new SF office starting in Q2 2026. US visa sponsorship available. Freedom and autonomy: Our expense policy is "act in BlueDot's best interest", unlimited PTO, minimal bureaucracy. $120-180k salary depending on experience, 10% employer 401(k) contribution (no match required), and comprehensive health insurance. Apply today Applying takes 20-30 minutes, and we encourage you to apply as soon as possible .We're evaluating candidates on a rolling basis and want to make an offer quickly. Check out our . Application process Initial application 3-hour work test (paid) 50-minute interview In-person work trial in San FranciscoIf you have any questions about the role, email

A nonprofit startup is seeking a Talent Specialist in the UK to source and hire exceptional candidates in AI safety and biosecurity. This role involves managing the hiring pipeline, building relationships within the industry, and enhancing the employer brand. The ideal candidate will demonstrate strong judgment, swift execution capabilities, and effective communication skills. With a focus on scaling the AI safety workforce, this role offers a salary ranging from $120K to $180K, along with a supportive work environment.

# Head of Talent Enable BlueDot to scale the AI safety workforce by hiring 20 exceptional people over the next 12 months.We're a nonprofit startup building the workforce that protects humanity .Since 2022, we've trained over 6,000 people in AI safety and biosecurity. Our alumni work at Anthropic, DeepMind, the UK AI Safety Institute, and dozens of other organisations shaping how transformative technologies affect the world.We're a small team based in London, expanding to San Francisco in Q2 2026. We raised $25M in 2025. Why this role matters We're about to grow fast. We've doubled over the past 4 months. Over the next 12 months, we'll scale from 7 to 25 people. At this size and pace, every hire we make will directly shape our culture and the work we can do. A bad hire will cost us months. A great hire will scale the number of people we can train and place into the field.The challenge is that top talent don't apply for jobs. They need to be found, recruited and inspired to join. Our current hiring process takes over 3 months and sometimes results in zero hires. You'll change that by owning the entire hiring function, from sourcing to closing, at a pace that matches the urgency of our mission. What you'll do Find exceptional people Source the best people relentlessly and creatively Build warm relationships with exceptional people even before we have a role open, so that when we do, you already know who to call Run a fast, rigorous hiring process Design and own the end-to-end hiring process (application forms, work tests, interviews, and work trials) that's so good, candidates rave about it even if they don't get the job Bring the median time from first contact to offer down from 12 to 4 weeks Close the best candidates Understand what drives each candidate and tailor the pitch accordingly, so they realise a fast, mission-driven, talent-dense nonprofit is the best place for them. When we decide someone is our top pick, you make sure we get them. Build BlueDot's employer brand Make sure the world knows that BlueDot is one of the most exciting places to work in AI safety Keep BlueDot top of mind for exceptional talent by building relationships with them and working with the team on content and events About youWe're looking for someone sharp and high-agency who's energised to help scale a mission-driven startup. You might be a great fit if you: Have good taste for talent. You can quickly and accurately tell who will thrive in a high-agency, mission-driven startup, and who won't. Source relentlessly. You don't sit back and wait for applications. You know (or learn fast) the AI safety talent landscape and can pinpoint where our ideal candidates live. Execute at speed. You feel a visceral urgency to fill roles. Every day spent risks losing an exceptional candidate and slows down BlueDot's work. You iterate quickly on pitches, strategies, and processes. Care about the mission. You understand why AI safety and pandemic preparedness matter, and you're keen to learn more. You know that scaling BlueDot is essential for helping us protect humanity. Can sell the mission. You understand what motivates different types of people and how to pitch BlueDot as their best option. You're persuasive, charismatic and credible.We encourage speculative applications - most strong candidates won't meet all these criteria! What we offer Massive impact: Every exceptional person you hire directly impacts BlueDot's ability to scale the AI safety workforce. San Francisco-based role: This is an in-person role in our new SF office starting in Q2 2026. US visa sponsorship available. Freedom and autonomy: Our expense policy is "act in BlueDot's best interest", unlimited PTO, minimal bureaucracy. $160-220k salary depending on experience, 10% employer 401(k) contribution (no match required), and comprehensive health insurance. Apply today Applying takes 20-30 minutes, and we encourage you to apply as soon as possible .We're evaluating candidates on a rolling basis and want to make an offer quickly. Check out our . Application process Initial application 3-hour work test (paid) 50-minute interview In-person work trial in San FranciscoIf you have any questions about the role, email

A nonprofit startup in AI safety seeks a Head of Talent to recruit and inspire top talent to scale the organization's workforce effectively. This role involves owning the full hiring process, enhancing brand awareness, and implementing practices to reduce hiring timelines. Ideal candidates will have expertise in talent sourcing and a deep understanding of mission-driven environments. The position offers competitive compensation and the opportunity to make a significant impact on AI safety initiatives.