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ABOUT THE ORGANIZATION: Scholars at Risk (SAR) is an international network of over 600 higher education institutions in more than 42 countries. SAR’s mission is to promote academic freedom and defend the human rights of scholars and their communities worldwide. SAR meets this mission through three primary activity areas: (1\) protection services for threatened scholars and other at\-risk individuals; (2\) advocacy and related research, reporting, and campaigning for scholars or other victims of attacks on higher education; and (3\) research and training on academic freedom and its constituent elements. In furtherance of all of these activities, SAR organizes multiple events, trainings, courses, and publications, including a biennial SAR Global Congress—an international gathering for SAR’s global movement and prospective new partners to share experience, discuss critical issues, and shape SAR’s research and advocacy strategies for the coming years. SAR’s staff is organized into teams for each of these programming areas, along with a membership team to research and develop services and activities for network member institutions, faculty and students, and related development and administration roles. Information at www.scholarsatrisk.org.
POSITION SUMMARY: Scholars at Risk (SAR) seeks a detail\-oriented, research\-focused individual with excellent organizational, analytical, and writing skills to join SAR’s Research \& Learning team as a Program Associate. The Program Associate will research, analyze, and write incident reports for SAR’s Academic Freedom Monitoring Project and other reports; contribute to the research, drafting, and publication of Research \& Learning reports including SAR’s annual Free to Think report; and support the Research \& Learning team administratively across implementation of its projects.
Within Research \& Learning, SAR conducts research and reporting on attacks on higher education in the United States and worldwide, which it translates into the annual Free to Think report and other topical reports. SAR also organizes regular cohorts of academics to further research on academic freedom as Academic Freedom Fellows. SAR seeks a Program Associate to contribute to these projects. The position requires excellent research, analysis, writing, and project management skills, as well as a practiced attention to detail and judgment. It is ideal for a proactive, thoughtful individual who takes initiative, enjoys the research process, has excellent writing skills, and likes to work on a small team. The position requires timely and professional communication, including with partners, SAR and NYU staff, academia, and the public. The role is based in Manhattan and in\-office work is required a minimum of 2\.5 days per week. This position reports to SAR’s Director of Research \& Learning.
KEY RESPONSIBILITIES \& DUTIES:
Research, analyze, write incident reports for SAR’s Academic Freedom Monitoring Project, which identifies and registers attacks on the higher education sector worldwide
- Using SAR’s research methodology, conduct research on attacks on higher education, as reported in open sources; and draft, edit, verify, and publish summary reports.
- Collaborate on efforts to assess project efficiency and propose and implement improvements, including assessing the project’s database, use of partner data, and AI.
- Ensure appropriate and timely distribution of the project’s incidents and key findings, including over social media, in newsletters, and in submissions to stakeholders.
Regularly share key incidents and trends with SAR staff and make recommendations as to appropriate responses.
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Research, analyze, write, and produce reports that highlight trends in attacks on higher education, and develop response tools
- Contribute to the research and writing process for SAR’s annual Free to Think report, drawing on Monitoring Project data.
- Liaise with communications staff for production and dissemination of Free to Think.
- Support research, writing, and production of other topical reports produced by SAR.
- Support development of training modules based on report recommendations, and of similar advocacy responses to the problem of attacks on higher education.
Present report data and recommendations to academic and general audiences.
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Support Research \& Learning project implementation
- Support implementation of SAR’s Academic Freedom fellowships, including organizing regular fellows’ meetings, commenting on research, and encouraging research on underfunded/understudied topics.
Across all Research \& Learning projects and reports, facilitate payments to consultants and vendors, manage team calendars, and support timely project implementation, including through use of project management tools.
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COMPENSATION \& BENEFITS: This is a full\-time, at\-will position on an open\-ended term, subject to p rogram priorities, exemplary performance, and availability of funds. The position offers a salary range of $55,000 \- 65,000, comparable to similar positions at peer organizations in the human rights/NGO field. Scholars at Risk is an independent not\-for\-profit corporation hosted at New York University (NYU). SAR staff are NYU employees seconded to SAR and are eligible for NYU employee benefits, including vacation leave and holidays; medical, dental, vision and life insurance options; and retirement b enefits (all subject to terms established by NYU as described at https://www.nyu.edu/employees/benefit/full time/professional\-research\-staff.html) .
- Undergraduate degree and 3\-5 years’ experience, or similar, relevant experience.
- Excellent research, writing, and editorial skills; demonstrated ability to synthesize and distill complex information for general audiences.
- E xceptional communication skills and proven proficiency in delivering impactful presentations.
- Exceptional attention to detail, initiative, time\-management, and problem\-solving abilities.
- Experience in report writing, production, distribution, and strategy preferred.
- Experience in project management, especially in managing competing priorities.
- Commitment to human rights, academic freedom, and diversity, equity, and inclusion.
- Experience studying and/or monitoring human rights required; experience working on academic freedom a plus.
- Ability to manage complex political and cultural factors, difficult information, including human rights abuses, and tensions between long\- and short\-term goals.
- Proficiency in word processing and spreadsheet software (e.g., Word/Google Docs, Excel/Sheets), website content management systems (e.g., WordPress). Experience in project management software (Asana, Trello, Monday) a plus.
APPLICATION REVIEW IS September 10, 2026 . Applications received after the deadline will be reviewed on a rolling basis, until the position is filled. No phone calls or email inquiries, please.
Applicant must upload the requested materials in one combined PDF: (1\) a letter of interest, (2\) resume, (3\) list of references or letters of reference, and (4\) a brief, unedited writing sample.
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040\. Learn more at nyu.edu/sustainability
Salary Context
This $55K-$65K range is in the lower quartile for Research Scientist roles in our dataset (median: $195K across 149 roles with salary data).
Role Details
About This Role
Research Scientists push the boundaries of what AI can do. They design experiments, develop novel architectures, publish papers, and translate research breakthroughs into production capabilities. This is where the fundamental advances happen, from attention mechanisms to diffusion models to reasoning chains.
The work is intellectually demanding and often ambiguous. You might spend months on an approach that doesn't pan out. The best research scientists combine deep mathematical intuition with engineering pragmatism. They know when to go deep on theory and when to run experiments. They read papers voraciously and can spot incremental contributions from genuine breakthroughs.
Across the 4,317 AI roles we're tracking, Research Scientist positions make up 4% of the market. At New York University, this role fits into their broader AI and engineering organization.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
What the Work Looks Like
A typical week includes: reading and discussing recent papers with your team, designing and running experiments on multi-GPU clusters, analyzing results and iterating on hypotheses, writing up findings for internal review or publication, and collaborating with engineering teams to productionize promising results. The ratio of thinking to coding is higher than in engineering roles.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
Skills in Demand for This Role
PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.
Beyond the fundamentals, companies value experience with large-scale distributed training, novel architecture design, and the ability to bridge theory and practice. Understanding of current frontier topics (reasoning, multimodal, long-context, alignment) is essential. Code quality matters more than many researchers expect. Labs want researchers who can implement their ideas cleanly.
Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
Compensation Benchmarks
Research Scientist roles pay a median of $222,200 based on 378 positions with disclosed compensation. Entry-level AI roles across all categories have a median of $110,000. This role's midpoint ($60K) sits 73% below the category median. Disclosed range: $55K to $65K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
New York University AI Hiring
New York University has 3 open AI roles right now. They're hiring across Research Scientist. Positions span New York, NY, US, Brooklyn, NY, US. Compensation range: $65K - $80K.
Location Context
AI roles in New York pay a median of $220,000 across 1,650 tracked positions.
Career Path
Common paths into Research Scientist roles include PhD Student, Research Engineer, Postdoc.
From here, career progression typically leads toward Research Lead, Distinguished Scientist, VP of Research.
The PhD is the entry point for most paths. Choose your advisor and research area carefully since they'll define your first industry position. Publish consistently, contribute to open-source projects in your area, and build relationships at conferences. Industry research offers better compensation and compute resources than academia, but the pressure to show product impact is real.
What to Expect in Interviews
Research interviews are multi-stage: a research talk (present your best paper), technical deep-dives on your methodology, and often a 'research proposal' exercise where you design an experiment to test a hypothesis. Coding rounds test implementation ability alongside theoretical knowledge. Be prepared to implement a paper from scratch and discuss the design choices the authors made. Strong candidates can critique papers constructively and identify gaps in experimental methodology.
When evaluating opportunities: Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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