We’re open to hiring for this role at different levels. For the right fit, we are open to this role being structured as a Senior Research Manager, and compensation will be commensurate with experience and expected scope, which could be above the pay rate listed here.
ABOUT CAMBRIDGE BOSTON ALIGNMENT INITIATIVE
The Cambridge Boston Alignment Initiative http://cbai.ai/ (CBAI) is a nonprofit research organization working to advance research and education directed towards ensuring that society navigates a safe and beneficial transition to advanced AI systems. Our work takes the form of producing original research efforts and accelerating AI safety research through fellowship programs.
After a successful 2025 launch of our AI Safety Research Fellowship - whose inaugural cohort published a spotlight paper at the Mechanistic Interpretability Workshop at NeurIPS, placed papers at ICLR, and produced fellows now at Goodfire and Redwood Research - we're rapidly scaling in 2026. As part of this growth, we are launching the inaugural AIxBio Research Fellowship, bringing the same high-touch, mentor-driven research model to the intersection of AI and biosecurity.
Refer us candidates https://airtable.com/app4zWdbexhJgyBwp/pagLKlt1Zh0RV163y/form, and receive $5,000 if we hire them.
THE ROLE
You'll work closely with fellows and their mentors, biosecurity researchers, AI safety researchers, and domain experts from academia and industry, to support cutting-edge work at the intersection of AI and biosecurity. This might include capability evaluations on biological systems, regulatory frameworks for mitigating dual-use research risks, or other research agendas at the frontier of AI-enabled biosecurity threats. We are open to hiring Research Managers with technical research experience or policy and governance research experience. For the right fit, we are open to adjusting the scope and compensation of this role.
RESEARCH MANAGEMENT (0.7 FTE)
- Conduct frequent 1-1s with your fellows, providing feedback on research progress and helping them overcome obstacles, including debugging research designs, preparing literature scaffolds, and supporting data collection, analysis, and methodology development
- Provide substantive feedback on fellow research and help CBAI create an environment that nudges fellows toward rigor and clarity
- Connect fellows with resources, literature, and opportunities relevant to AI x biosecurity during and after the fellowship
- Communicate with fellows' mentors to define clear research objectives and support fellows' research progression
- Contribute to fellow selection by reviewing and interviewing candidates to ensure the cohort has strong epistemics and a relevant background
PROGRAM MANAGEMENT & DEVELOPMENT (0.3 FTE)
- Contribute to the design of reading groups, workshops, and supplementary programming for the AIxBio cohort
- Support special projects aligned with your strengths, such as applicant selection, evaluation frameworks, or mentor onboarding
- Meet weekly with program leadership to enhance feedback loops and continuously improve the program
- Stay current on developments at the intersection of AI and biosecurity relevant to your fellows' work
- Prepare periodic briefs on recent developments in the field for fellows
ABOUT YOU
We expect you to be characterized by most of the qualities listed below.
Experience supporting complex intellectual work. You have helped others execute complex analytical or research projects - through teaching, managing technical teams, conducting your own research, consulting, or coordinating academic programs.
You understand the research process from the inside. You've done substantial analytical work yourself, whether in academia, policy analysis, consulting, or industry research. You can recognize when a research plan is solid vs. hand-wavy, identify blockers in someone's thinking, and suggest concrete next steps.
Familiarity with AI x biosecurity. You have meaningful exposure to biosecurity, AI safety, or the intersection of the two - through research, policy work, or adjacent professional experience. You don't need to be a specialist, but you need enough context to engage substantively with the research your fellows are doing.
Skilled at developmental feedback. You know how to give constructive criticism that moves work forward. You can help people strengthen their arguments, tighten their methodology, and present their findings clearly - even when the specific topic is outside your core expertise.
Excellent communicator. You explain complex concepts clearly and give constructive feedback effectively. You check in proactively when you're unsure about something or notice a potential problem.
Interpersonally excellent. You have genuine empathy, active listening skills, and a servant leadership approach. You enjoy helping others succeed and take pride in their accomplishments.
Mission-motivated. You are strongly aligned with CBAI's mission and care about the biosecurity risks posed by transformative AI systems. You want to contribute meaningfully to this space and are passionate about building the field.
Organized and conscientious. You keep complex projects on track, follow through reliably, and maintain clear communication. You're receptive to feedback and continuously improve your approach.
The ideal candidate will have a bachelor's degree or higher in a relevant field, Computer Science, Biology, or related disciplines, combined with research or policy experience demonstrating strong methodological knowledge and a genuine interest in AI x biosecurity.
NICE TO HAVES
- Published research or policy work in biosecurity, AI safety, or adjacent areas
- Previous involvement in AI safety, biosecurity, or field-building programs
- Experience managing research programs or academic initiatives
However, there is no such thing as a "perfect" candidate. If you are on the fence about applying because you are unsure whether you are qualified, we strongly encourage you to apply.
WHY THIS ROLE MAY NOT BE THE RIGHT FIT
We want to be transparent about what this position entails so you can make an informed decision about whether it's right for you:
You're supporting others' research. Your primary job is helping fellows execute their research projects, not shaping research strategy. Mentors and fellows own the research direction. In some cases, with mentor and fellow approval, you may contribute substantially enough to merit co-authorship, but this is a facilitation role first.
Your success is measured by fellows' accomplishments. When fellows publish papers, secure positions at top labs or policy organizations, or advance in their careers, that's your win. If you're primarily motivated by building your own research reputation, this role won't be satisfying.
Workload varies significantly by fellowship cycle. Active fellowship periods are intense; between cycles, the pace slows considerably. If you strongly prefer steady, predictable workloads, this variability may be challenging.
If this sounds exciting to you, and if you want to spend at least a year becoming excellent at supporting talented researchers working on one of the most important emerging risk areas, and contributing to building the Cambridge biosecurity research ecosystem, this role could be a great fit.
ROLE DETAILS AND BENEFITS
Team: You'll report to the AIxBio Program Lead.
Salary: $120,000 – $160,000, depending on experience. For exceptional candidates, we are flexible on compensation.
We also provide:
- 5% 403(b) match contribution
- Comprehensive health insurance including dental and vision
- Generous PTO policy
- Employer-paid commuter benefits
- Reimbursement for work-related technology and/or home office expenses
H-1B and O-1 sponsorship available for eligible candidates.
Location: This position is primarily based in Cambridge, MA. We expect you to work with us in-person from our Harvard Square office.
The priority application deadline is November 23, 2026 at 11:59 pm ET. Applications will be reviewed on a rolling basis through the final deadline of November 30, 2026 at 11:59pm ET.
SELECTION PROCESS
We use a multi-stage process to find the right fit:
- Application Review: We review applications on a rolling basis and invite strong candidates to phone screens. We take the hiring process seriously, and this means your application will be reviewed in detail by our recruiters.
- Initial Screen (30 minutes): A conversation with a CBAI team member to discuss your background, understand your interest in research program management and AI safety, and answer your initial questions about the role.
- Paid Test Task: Strong candidates from the initial screen will receive a written test task that mirrors actual research manager responsibilities. Examples include giving feedback on a research proposal, designing program components, creating evaluation frameworks, or suggesting a program design change based on feedback. You’ll have a fixed amount of time to complete it.
- Interview: Top candidates from the test task will be invited to remote interviews and/or an interview day with our team at our office in Harvard Square, Cambridge. We will coordinate scheduling and logistics, and cover the associated travel costs. Interviews may include:
- Discussion of your test task submission
- Case study of fellowship program scenarios
- Conversations with CBAI team members and potentially a fellow
- A deep dive into your approach to research management
- Reference Checks: For our top finalists, we’ll conduct reference checks and a final conversation to make sure the fit works both ways. We’ll discuss logistics, answer remaining questions, and clarify expectations.
- Offer: Selected candidates will receive an offer and detailed onboarding information.
CBAI is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law.
In acknowledgment of the research that suggests that women, gender minorities, and other marginalized groups may be less likely to apply for roles where they don’t meet every criterion, we especially encourage people in these categories to apply.
We may use AI to assist in the initial screening of applications, including to detect whether candidates have used AI models in drafting their application. Decisions are always made by a human on our team.
