social sciences research scientist

DataAnnotation

<div>
 We are looking for a Research Scientist (Physics) to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
 
 
 
 Benefits
 
 
 
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 This is a full-time or part-time REMOTE position
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 You&rsquo;ll be able to choose which projects you want to work on
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 You can work on your own schedule
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 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
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 Responsibilities
 
 
 
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 Give AI chatbots complex physics problems and evaluate their outputs
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 Evaluate the quality produced by AI models for correctness and performance
 
 
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 Qualifications
 
 
 
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 Fluency in English (native or bilingual level)
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 Detail-oriented
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 Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
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 A current, in progress, or completed Master's and/or PhD is preferred but not required
 
 
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 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #physics
</div>

Research Scientist (Physics)

Stanford University

The Department of Genetics at Stanford University is a leading center for genomic research, dedicated to understanding the molecular mechanisms underlying human health and disease. Our department brings together world-class faculty and researchers who develop and employ cutting-edge technologies -from molecular to computational approaches- to tackle fundamental questions in genetics. We foster a collaborative, interdisciplinary environment that bridges basic science with clinical applications, training the next generation of geneticists while pursuing discoveries that translate into improved human health outcomes. Our mission emphasizes scientific excellence, innovation, and the responsible application of genetic knowledge to benefit society. We are committed to building an inclusive scientific community that values the contributions of all our members to our research programs. The Cox laboratory at Stanford University School of Medicine seeks a full-time staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale. Our laboratory aims to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements. More information about the lab can be found at coxlab.bio. In this role, you will perform professional research in support of our scientific mission. You will contribute to developing research goals for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include interpreting experimental results, reviewing pertinent literature, and preparing research reports for presentation and publication. What we provide:<ul><li>Basic science research projects with potential for broad and sustained impact on pressing biomedical problems</li><li>Training in cutting-edge experimental and computational methods in molecular biology and biochemistry, including high-throughput sequencing</li><li>A collaborative, inclusive, and supportive research environment</li><li>Opportunities for authorship on research publications</li><li>A team committed to continuous learning and scientific collaboration</li><li>Membership in Stanford's vibrant scientific communities across the Department of Genetics, School of Medicine, and broader university </li></ul>CORE DUTIES:Research & Technical Development:<ul><li>Design, develop, and perform specialized experimental procedures for protein-RNA interaction studies, including high-throughput sequencing-based assays</li><li>Identify methodological challenges in research protocols and implement innovative solutions to optimize experimental outcomes</li><li>Evaluate emerging technologies and lead the integration of new methodologies into laboratory workflows</li><li>Troubleshoot complex experimental systems and maintain laboratory instrumentation</li><li>Organize experimental data</li></ul>Data Analysis & Reporting:<ul><li>Prepare comprehensive research reports, manuscripts, and presentations for scientific meetings and publication</li><li>Collaborate on data visualization and statistical analysis to support research conclusions</li></ul>Laboratory Leadership & Management:<ul><li>Develop and implement short- and long-term research strategies in collaboration with the Lab Head</li><li>Train and mentor junior laboratory members in experimental techniques and data analysis methods</li><li>Oversee laboratory operations including supply management, equipment maintenance, and safety protocols</li><li>Prepare specifications for specialized equipment and coordinate procurement of some research supplies</li></ul> Required Qualifications:<ul><li>Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience</li><li>Demonstrated experience with protein purification, nucleic acid biochemistry, and next-generation sequencing technologies</li><li>Strong technical proficiency combined with scientific creativity and collaborative skills</li><li>Ability to work independently while contributing effectively to team-based research goals</li><li>Ability to develop innovative processes to achieve goals. Directs others to develop essential tasks. Reviews work activities to determine where new information could improve processes or move projects forward</li><li>Ability to write and prepare reports or manuscripts for presentation to large audiences.</li><li>Experience mentoring and training junior researchers</li><li>Commitment to fostering an inclusive and collaborative research environment</li></ul> Preferred Qualifications:<ul><li>Experience with biochemical assays for protein-nucleic acid interactions</li><li>Familiarity with computational analysis of next-generation DNA sequencing data</li><li>Prior experience in technology development or method optimization</li><li>Track record of scientific publications in peer-reviewed journals</li></ul>Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Please Note:<ul><li>This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however.</li><li>Interested applicants should submit a cover letter, current CV, publication list and the contact information for at least 3 references with their application.</li></ul>The expected pay range for this position is $75,000 to $96,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. <img src="https://www.jobg8.com/Tracking.aspx?xvPwrP8buEywSGnO9VvFP9ntXqRXjWdXr" width="0" height="0" />

Basic Life Research Scientist (3 Year Fixed Term)

The Division of Gastroenterology & Hepatology within the Department of Medicine is seeking a Social Science Research Professional 2 to support research and develop policies requiring continuous exercising of independent initiative and judgment. The ideal candidate will have a passion for improving workplace equity with an interest in implicit bias, discrimination, microaggressions, civility, and sexual harassment. They will join the Salles Lab, which focuses on ways to make workplaces more inclusive for all people, especially those who have been historically marginalized. The research in the lab explores many challenges including: gender bias, sexual harassment, access to abortion, fertility and family planning, and obesity bias. This research relies on human subjects and is driven largely by surveys. The person hired for this role will provide guidance to less experienced colleagues. Duties include: <ul><li> Assist in designing experiments, exercising independent initiative and judgment gained from completing a variety of high level assignments, including activities such as defining variables, formulating hypotheses, and selecting subjects, sources of information, or planned and coordinating experimental protocols. </li><li> Adapt or work out the details of new, nonstandard procedures, with the supervisor providing general guidance and suggestions. </li><li> Interpret, synthesize, and analyze data using scientific or statistical techniques. </li><li> Solve problems, and make decisions that affect the direction of the research and result in independent contributions to the overall project. </li><li> Select and apply standard calculations and formulas independently to compile data or process documents; often serve as a resource for research methods and numerical analyses. </li><li> Co-author sections of research publications and regulatory reports as needed. </li><li> Complete project-related administrative and budgetary responsibilities of a limited scope as needed. </li><li> Supervise staff or students as needed, including oversight and instruction on techniques, as well as consultation on project work. </li></ul> DESIRED QUALIFICATIONS: <ul><li> Self-motivated with an interest in working on research related to bias, harassment, and equity in the workplace. </li><li> Able to think through problems and propose solutions. </li><li> Able to prioritize important, urgent tasks over unimportant, non-urgent tasks. </li><li> Previous research experience with human subjects. </li><li> Reliable, honest, detail-oriented, and punctual. They should have familiarity with </li><li> Microsoft Office, Doodle polls, Canva, and zoom. Experience with web design would be desirable but is not necessary. </li></ul> EDUCATION & EXPERIENCE (REQUIRED): <ul><li> Bachelor of Arts degree in an applicable social science related field and two years applicable experience, or combination of education and relevant experience in an applicable social science. </li></ul> KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): <ul><li> Comprehensive understanding of scientific theory and methods. </li><li> General computer skills and ability to quickly learn and master computer programs. </li><li> Strong analytical skills and excellent judgment. </li><li> Ability to work under deadlines with general guidance. </li><li> Excellent organizational skills and demonstrated ability to complete detailed work accurately. </li><li> Demonstrated oral and written communication skills. </li><li> Ability to work with human study participants. </li><li> Developing supervisory skills. </li></ul> PHYSICAL REQUIREMENTS: <ul><li> Frequently perform desk-based computer tasks, grasp lightly/fine manipulation, lift/carry/push/pull objects that weigh up to 10 pounds. </li><li> Occasionally stand/walk, sit, use a telephone, writing by hand, and sort/file paperwork or parts. </li><li> Rarely twist/bend/stoop/squat, kneel/crawl, rarely reach/work above shoulders, and operates foot and/or hand controls. </li></ul> WORKING CONDITIONS: <ul><li> May be exposed to blood borne pathogens. </li><li> May be required to work non-standard, extended or weekend hours in support of research work. </li></ul> WORKING STANDARDS: <ul><li> Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. </li><li> Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. </li><li> Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . </li></ul> The expected pay range for this position is $85,376 to $99,581 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: <ul><li> Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. </li><li> A caring culture. We provide superb retirement plans, generous time-off, and family care resources. </li><li> A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. </li><li> Discovery and fun. Stroll through historic sculptures, trails, and museums. </li><li> Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. </li></ul> Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. <img src="https://www.jobg8.com/Tracking.aspx?Uchc6f7e1KHOopz8wHQodMARMorD6hBky" width="0" height="0" />

Social Science Research Professional 2

The Enigma Project (enigmaproject.ai) is a research organization based in the Department of Ophthalmology at Stanford University School of Medicine, dedicated to understanding the computational principles of natural intelligence using the tools of artificial intelligence. Leveraging recent advances in neurotechnology and machine learning, this project aims to create a foundation model of the brain, capturing the relationship between perception, cognition, behavior, and the activity dynamics of the brain. This ambitious initiative promises to offer unprecedented insights into the algorithms of the brain while serving as a key resource for aligning artificial intelligence models with human-like neural representations.As part of this project, we seek talented individuals specializing in mechanistic interpretability to develop and deploy scalable pipelines for analyzing and interpreting these models, helping us understand how the brain represents and processes information. The role combines rigorous engineering practices with cutting-edge research in model interpretability, working at the intersection of neuroscience and artificial intelligence.Role & Responsibilities: • Design and implement scalable pipelines for mechanistic interpretability analyses of large neural networks • Develop and automate feature visualization techniques to understand neural representations • Build tools for circuit discovery and geometric analysis of population activity • Create efficient, reproducible analysis workflows that can handle large-scale neural data • Collaborate with neuroscientists and ML researchers to design and implement novel interpretability methods • Maintain and optimize distributed computing infrastructure for running interpretability analyses • Document and share findings through technical reports and visualization tools • - Other duties may also be assignedWhat we offer: • An environment in which to pursue fundamental research questions in AI and neuroscience • A vibrant team of engineers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry. • Access to unique datasets spanning artificial and biological neural networks • State-of-the-art computing infrastructure • Competitive salary and benefits package • Collaborative environment at the intersection of multiple disciplines • Location at Stanford University with access to its world-class research community • Strong mentoring in career development.Application: In addition to applying to the position, please send your CV and one-page interest statement to: DESIRED QUALIFICATIONS:Key qualifications: Master's degree in Computer Science or related field with 2+ years of relevant industry experience, OR Bachelor's degree with 4+ years of relevant industry experience Strong understanding of mechanistic interpretability techniques and research literature Expertise in implementing and scaling ML analysis pipelines Proficiency in Python and deep learning frameworks (i.e. PyTorch) Experience with distributed computing and high-performance computing clusters Strong software engineering practices including version control, testing, and documentation Familiarity with visualization tools and techniques for high-dimensional dataPreferred qualifications: Experience with feature visualization techniques (e.g., activation maximization, attribution methods) Knowledge of geometric methods for analyzing neural population activity Familiarity with circuit discovery techniques in neural networks Experience with large-scale data processing frameworks Background in neuroscience or computational neuroscience Contributions to open-source ML or interpretability tools Experience with ML experiment tracking platforms (W&B, MLflow)EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and three years of relevant experience, or combination of education and relevant experience.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Thorough knowledge of the principles of engineering and related natural sciences. • Demonstrated project management experience. CERTIFICATIONS & LICENSES:None PHYSICAL REQUIREMENTS :• Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. • Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. • Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.WORKING CONDITIONS:• May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights ?10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. • May require travel. The expected pay range for this position is $126,810 to $151,461 annually. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. <img src="https://www.jobg8.com/Tracking.aspx?Fo4bepkShYO7Es7w2%2bay4myJw%2bEXHCimc" width="0" height="0" />

Modeling/Interpretability Research Scientist (1 Year Fixed Term)

The Division of Primary Care and Population Health seeks to serve our community through caring, learning, and innovation for the whole person through all stages of live. While engaged in practice and teaching, our faculty are dedicated to establishing new knowledge as the basis for future practice and prevention, and to the greatest extent possible applying that knowledge to improve care for all and reduce health disparities.The research scholar will take a leadership role in Pascal Geldsetzer's research group, which is a "dry lab" focused on quantitative analyses of existing, and often publicly accessible, datasets. The group is currently focused on studying the causal effect of shingles vaccination on cognition ( ). In extensions of this work, the group is also interested in the effect of other vaccinations given in old age on dementia as well as the effect of infections on dementia. Key data sources for our projects are electronic health record data, epidemiological cohort studies, mortality data, and other large health-related administrative datasets. The researcher will be expected to publish in high-impact peer-reviewed journals.We are in particular looking for individuals with in-depth experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences). We are looking for someone to start as soon as possible but there is no specific deadline for the application - we hire on an ongoing basis.The initial appointment will be 1-year fixed term. The fixed-term may be renewed for additional years based on business needs.CORE DUTIES:<ul><li>Carrying out data analyses</li><li>Supervising data analyses led by graduate students and postdoctoral fellows</li><li>Writing manuscripts for publication in scientific journals</li><li>Mentoring and advising junior researchers</li><li>Assisting with, and leading the writing of, grant applications for research funding</li><li>Communicating with research funders, data providers, and project administrative staff</li></ul> EDUCATION & EXPERIENCE: • Doctoral degree with quantitative training or research experience. • Training and experience in quasi-experimental techniques (regression discontinuity, difference-in-differences, interrupted time-series, etc.) • A background in health-related research is a plus but not requiredKNOWLEDGE, SKILLS AND ABILITIES:• Strong coding skills in R, Stata, or other statistical software package. • Strong writing and analytical skills. • Ability to prioritize workload.This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $93,000 to $148,000 per annum.Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.Why Stanford is for YouImagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:<ul><li>Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.</li><li>A caring culture. We provide superb retirement plans, generous time-off, and family care resources.</li><li>A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.</li><li>Discovery and fun. Stroll through historic sculptures, trails, and museums.</li><li>Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.</li></ul> The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.<img src="https://www.jobg8.com/Tracking.aspx?ANOyqbAIplhxWA3f2rauRKJogh2PM29mo" width="0" height="0" />

Social Science Research Scholar (1-year Fixed Term)

New York University Abu Dhabi

<div>
 We are inviting applications for a Postdoctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, social psychology, computational social science, computer science, information science, data science, or a closely related field. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years.
 
 
 The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. The collaborative research will be large-scale analyses of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion-based cues shape insider/outsider categorization, intergroup relations, and social cohesion; and how to design interventions that promote inclusivity, fairness, and productive discourse online.
 
 
 We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition into the social sciences.
 
 
 The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science.
 
 
 For consideration, applicants must submit a cover letter, a curriculum vitae with a complete list of publications, a statement of research interests, two letters of reference, transcript and one writing sample, all in PDF format. If you have any questions, please email the Principal Investigators: Professors Mario D. Molina (mdmolina@nyu.edu), Minsu Park (mp5500@nyu.edu), and Blaine Robbins (bgr3@nyu.edu). Applications will be reviewed on a rolling basis until the position is filled, with a preferred deadline of November 15, 2025
 
 
 
 About NYU Abu Dhabi
 
 
 
 NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU&rsquo;s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
 
 
 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
 
 
 UAE Nationals are encouraged to apply
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 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
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Post-Doctoral Associate in the Division of Social Science - Drs. Minsu Park, Mario Molina and Blaine Robbins

Microsoft

<div>The AI Business Solutions (ABS) team is looking for a Director of Research to help drive future of work thought leadership and marketing communications. This is a unique opportunity to help every person and every organization evolve with a rapidly changing world and not get left behind as Artificial Intelligence (AI) reshapes every aspect of work and business.
The Director of Research plays a critical role in our research team, responsible for driving day-to-day execution of research projects and ensuring methodological rigor. The Senior Researcher will develop detailed research plans, conduct primary research activities, coordinate with cross-functional partners (including academic and customer stakeholders), and uphold high standards in documentation, analysis, and ethical compliance.
The ideal candidate is an experienced researcher with impactful qualitative and quantitative skills, effective organizational abilities, and a passion for translating complex findings into practical insights. This role provides an exciting opportunity to work at the cutting edge of organizational research, shaping how companies adopt new technologies and ways of working, in partnership with world-class academic researchers and industry leaders.
The Director of Research will be a driving force in transforming rigorous research findings into real-world impact within our organization and for our customers.
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<div>
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.</div><h2 class="jobSectionHeader">
Responsibilities</h2><div>
Research Planning &amp; Documentation: Draft detailed research plans outlining objectives, hypotheses, methodologies, and timelines.</div><div> 
Day-to-Day Research Execution: Oversee the daily progress of research activities to meet project milestones. Serve as a key partner to external collaborators in refining experiment designs and protocols.</div><div></div><div> 
Experiment Design &amp; Support: Work closely with the Lead Researcher, Lead Data Scientist and external partners to design rigorous experiments. Contribute to developing and setting up research protocols (e.g., defining control vs. treatment groups, randomization schemes, measurement metrics) that align with business needs and scientific standards.</div><div> 
Primary Research Activities: Carry out core research tasks, including literature reviews, qualitative and quantitative research, hypothesis generation and pattern analysis.</div><div></div><div> 
Customer Research Engagement: Support and lead conversations with customer participants involved in the research.</div><div> 
Experiment Materials Creation: Develop all supporting materials required for experiments and for sharing insights with stakeholders. Tailor communication of complex experimental concepts into understandable content for non-research audiences (e.g., customer sponsors or executives).</div><div></div><div> 
Blueprint Co-Design: Collaborate in co-designing &ldquo;blueprint&rdquo; materials that translate research outcomes into practical frameworks or recommendations.</div><div></div><div> 
Data Science Peer Review: Act as a peer reviewer and thought partner to the team&rsquo;s Lead Data Scientist. Review data collection plans, analysis code, and preliminary results to ensure accuracy and validity. Provide feedback on statistical methods, suggest improvements or alternative analyses, and help interpret data outcomes in the context of the research questions.</div><div></div><div> 
Privacy &amp; Legal Compliance: Lead the preparation of materials and discussions needed for research protocol sign-off with Privacy and Legal teams. This includes ensuring all research activities comply with data privacy regulations and ethical standards. Draft research protocols that detail how data will be collected, used, stored, and protected. Coordinate Institutional Review Board (IRB) applications or internal ethics reviews if required. Work with Microsoft privacy/legal stakeholders to address any concerns and secure necessary approvals before research deployment. Maintain participant confidentiality and data security throughout the project.</div><div> 
Cross-Functional Collaboration: Serve as a liaison between the research team and other stakeholders (e.g., program managers, product teams, or leadership). Provide regular updates on research progress, preliminary insights, and final results. Incorporate feedback from various perspectives while maintaining research integrity. Help integrate research findings into broader project deliverables and strategic decisions.</div><div></div><div> 
Embody our culture and values.</div><h2 class="jobSectionHeader">
Qualifications</h2><div>
Required/minimum qualifications</div><ul><li>
7+ years experience in data science, research, marketing or business-related roles<ul><li>
OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 6+ years experience in data science, research, marketing or business-related roles</li><li>
OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 4+ years experience in data science, research, marketing or business-related roles.</li></ul></li><li>
5+ years of hands-on research experience including designing and executing complex research projects from start to finish.</li></ul><div>
Additional or preferred qualifications<ul><li>
9+ years experience in data science, research, marketing or business-related roles<ul><li>
OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 8+ years experience in data science, research, marketing or business-related roles</li><li>
OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 7+ years experience in data science, research, marketing or business-related roles</li><li>
OR Doctorate in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 5+ years experience in data science, research, marketing or business-related roles.</li></ul></li><li>
3+ years project management experience.</li><li>
4+ years experience working with decision makers to define need and scope research to answer questions.</li><li>
4+ years creating content that conveys a simple, clear message.</li><li>
7+ years of hands-on research experience including designing and executing complex research projects from start to finish, preferably within a marketing organization.</li><li>
Background in behavioral research, social science experiments, user experience research, or market research.
 
</li><li>Experience with qualitative data analysis software (such as NVivo, Dedoose or similar) or willingness to learn, for coding and analyzing interview transcripts and notes.</li><li>
Familiarity with quantitative analysis or statistical software (such as SPSS, R, Python/Pandas, or Excel&rsquo;s advanced functions). While the role is not primarily a data scientist, the ability to run or understand basic statistical analyses and to interpret data outputs is important.</li><li>
Experience with survey tools (e.g., Microsoft Forms, Qualtrics) to design and analyze surveys.</li><li>
Proficient understanding of research ethics and privacy requirements. Knowledge of GDPR and data protection principles in research, as well as experience preparing IRB submissions or following informed consent procedures. Track record of respecting confidentiality and handling sensitive data responsibly.</li><li>
Comfortable working with advanced AI tools, such as Copilot for M365, to carry out AI-empowered research processes.</li></ul></div><div> 
Market Research IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year. Certain roles may be eligible for benefits and other compensation.</div><div></div><div> 
Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</div><div></div><div> 
Microsoft will accept applications for the role until November 10th, 2025.</div> 
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Director of Research

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