staff research scientist

Prolific

<div>
 
 AI Trainer &ndash; Research Scientists
 
 
 
 
 
 About Prolific
 
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 
 The role
 
 
 
 
 We&rsquo;re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world&rsquo;s biggest AI labs. If you have the necessary experience, we&rsquo;ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a Domain Expert participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
 
 
 
 
 What you&rsquo;ll be doing in the role
 
 
 
 
 Completing AI training tasks such as analyzing, editing, and writing research-focused content
 
 
 Judging the performance of AI on research design, methodology, and scientific reasoning prompts
 
 
 Improving cutting-edge AI models using your experience in research and experimentation
 
 
 
 
 What you&rsquo;ll bring
 
 
 
 
 Experience working as a Research Scientist or in a closely related research role
 
 
 A strong understanding of scientific methodology, experimental design, and data analysis
 
 
 A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
 
 
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 
 
 A reliable and fast internet connection and access to a computer
 
 
 A Paypal account to receive payment from our clients*
 
 
 
 
 Why Prolific is a great platform to join as a Domain Expert participant
 
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 
 
 <ul>
 <li>
 Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.
 
 
 </li>
 </ul>
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
</div>

AI Training - Research Scientist (PST)

Walmart

<div><h2 class="jobSectionHeader">Position Summary...</h2><h2 class="jobSectionHeader">
What you'll do...</h2>
Walmart Marketplace 
 
Walmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return &amp; refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. 
 
More about Marketplace: https://marketplace.walmart.com/
 
 
What you'll do: As a full stack Staff Data Scientist for Walmart, you will be responsible for building scalable end-to-end data science solutions for our data products.
<ul><li>Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management</li><li>
Can develop and maintain scalable MLOps infrastructure, such as building Kafka pipeline for unified logging and monitoring across multiple projects.</li><li>
Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments, monitoring performance and troubleshooting application latency or operational issues.</li><li>
Lead code quality and engineering best practices by conducing code reviews and mentoring junior MLEs.</li><li>
Can provide high-level architectural project guidance, break down complex tasks, and help resolve project challenges for the team.</li><li>
Build continuous, distributed and scalable training pipeline, inference pipeline and performance monitoring pipeline to be used across several Marketplace initiatives.</li><li>
Enhance data feedback/annotation workflows to improve efficiency of our labeling team</li><li>
Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.</li><li>
Collaborate cross-functionally with stakeholders to align AI solutions with Walmart&rsquo;s business objectives.</li><li>
Build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact.</li></ul> 
 
 
What you'll bring:
<ul><li>Very good knowledge of the foundations of machine learning and statistics</li><li>
Experience in machine learning, supervised and unsupervised and deep learning.</li><li>
Experience in analyzing the complex problems and translate it into data science algorithms</li><li>
Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
</li><li>Strong Experience in Python with excellent knowledge of Data Structures</li><li>
Strong Experience with big data platforms &ndash; Hadoop (Hive, Pig, Map Reduce, Scala, Spark)
</li><li>Hands on experience with Git</li><li>
Experience with SQL and relational databases, data warehouse</li></ul> 
 
 
About Walmart Global Tech 
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That&rsquo;s what we do at Walmart Global Tech. We&rsquo;re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world&rsquo;s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart&rsquo;s culture is a competitive advantage, and it&rsquo;s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. 
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
 
 
Benefits: 
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. 
 
Equal Opportunity Employer: 
Walmart, Inc. is an Equal Opportunity Employer &ndash; By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions &ndash; while being inclusive of all people. 
 
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. 
 At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
 
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
 
For information about benefits and eligibility, see One.Walmart.
 
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
 
<ul><li>Stock</li></ul>
ㅤ
ㅤ
ㅤ
ㅤ
&lrm;<h2 class="jobSectionHeader">
Minimum Qualifications...</h2>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field<h2 class="jobSectionHeader">
Preferred Qualifications...</h2>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<h2 class="jobSectionHeader">
Primary Location...</h2>
2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Staff, Data Scientist

University of Oklahoma

<div></div><div><div>Job no: 492911 
Work type: Professional 
Location: Oklahoma City 
Categories: Technology/Research 
</div>
<div>Pay Range: Targeted annual salary ranges from $33,600 to $43,700, based on experience.

Benefits Eligible: Yes

Work Schedule: Mon-Fri w/ occasional nights/weekends

Travel: Not required
<div>
<div><div><div>Position Introduction:

OU Health Stephenson Cancer Center is Oklahoma&rsquo;s only National Cancer Institute (NCI)-Designated Cancer Center, and one of only 73 NCI-Designated Cancer Centers in the United States. This highly competitive accreditation ensures that our patients receive the highest standard of care and have access to the most advanced cancer treatment options. At the Stephenson Cancer Center, we have an exciting new job opportunity that could be right for you!

Launch your research career. Make an impact on health behavior and cancer prevention.

The Health Promotion Research Center (HPRC) at Stephenson Cancer Center is seeking a motivated and detail‑oriented Staff Research Assistant to support multiple ongoing research studies focused on health behavior change. This position is ideal for individuals interested in public health, behavioral science, psychology, or health research&mdash;and offers meaningful, hands‑on experience with NIH‑funded randomized controlled trials.

If you&rsquo;re passionate about improving health outcomes, enjoy working with people, and want opportunities to contribute to scientific publications, this role provides an outstanding foundation for a research‑focused career.

Learn more about the Health Promotion Research Center here.
 
 
**THIS IS NOT A BIOMEDICAL/BENCH SCIENCE POSITION**
 
 
Why This Role Matters

HPRC&rsquo;s research directly addresses behaviors that significantly impact cancer risk and overall health, including tobacco use, alcohol consumption, and marijuana use. As a Staff Research Assistant, you will play a critical role in connecting participants to research, collecting high‑quality data, and advancing studies that inform real‑world health interventions.

What You&rsquo;ll Do
<ul>
<li>Research &amp; Participant Engagement</li>
<li>Serve as the first point of contact for research participants at HPRC</li>
<li>Complete participant referrals and screen applicants for eligibility</li>
<li>Support participant enrollment and ongoing study involvement</li>
<li>Communicate clearly and compassionately with participants throughout the research process</li>
</ul>
Data Collection &amp; Management
<ul>
<li>Collect research data using standardized protocols</li>
<li>Maintain accurate records and confidential research files</li>
<li>Assist with data cleaning, management, and basic data analyses</li>
<li>Ensure data integrity and compliance with study procedures</li>
</ul>
Reporting &amp; Research Support
<ul>
<li>Assist with preparation of reports and research summaries</li>
<li>Support multiple ongoing studies, including NIH‑funded and pilot randomized controlled trials</li>
<li>Contribute to research activities focused on health behavior change such as:
<ul><li>Smoking cessation</li>
<li>Alcohol use reduction or cessation</li>
<li>Marijuana use reduction or cessation</li>
</ul>
</li></ul>Professional Growth &amp; Scholarship
<ul>
<li>Collaborate closely with investigators, coordinators, and research staff</li>
<li>Gain exposure to study design, implementation, and analysis</li>
<li>Opportunities to be included as a contributor or co‑author on research publications</li>
</ul>
Why Join HPRC &amp; Stephenson Cancer Center?
<ul>
<li>Be part of Oklahoma&rsquo;s only NCI‑Designated Cancer Center</li>
<li>Work on impactful, federally funded behavioral health research</li>
<li>Gain hands‑on research experience ideal for graduate or professional school pathways</li>
<li>Collaborate with experienced investigators and multidisciplinary teams</li>
<li>Contribute to research that helps prevent cancer and improve population health</li>
</ul>
Ready to contribute to research that changes lives&mdash;and build your research skillset along the way? Apply today and begin your journey in behavioral health research with the Health Promotion Research Center at Stephenson Cancer Center.

View full job description.</div></div><div> 
<div>
Required Education and Experience:
<ul>
<li>Bachelor's degree in a relevant field (e.g., Biology, Psychology, Engineering, Computer Science, Sociology, or a related discipline aligned with the specific area of research or project focus)</li>
<li>1 year of experience supporting research or working in a laboratory setting</li>
</ul>
Equivalency/Substitution: Experience or a combination of education &amp; related experience can be considered in lieu of degree. A one-to-one ratio is used to determine the number of years of experience required in place of a degree.

Required Certifications and Licenses:

None.

Department Preferences:
<div>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Psychology, Sociology, Public Health, or other Healthcare field.</li>
<li>Ability to perform basic data analysis.</li>
<li>Knowledge and experience in research methods including clinical trial data collection procedures and IRB processes.</li>
</ul>
</div></div></div> 
</div></div>Hiring Contingent Upon a Background Check: Yes
</div>
Advertised: 08 May 2026 Central Daylight Time 
Applications close: 07 Aug 2026 Central Daylight Time</div>

Staff Research Assistant - HPRC

UCLA Health

<div><div>Description<div><div><div><div><div><div><div>
The Semel Institute is seeking a Staff Research Associate I to provide laboratory and clinical research support for ongoing studies. Primary responsibilities include entering and maintaining research data, assisting with participant recruitment, conducting study screening interviews in person and/or remotely via phone or Zoom, and supporting the informed consent process for study participants. The incumbent will also assist participants with completion of questionnaires and assessments, conduct structured diagnostic interviews under supervision, and support study coordination activities.

Additional duties include assisting with IRB submissions, manuscript preparation, data cleaning and analysis, and coordinating online manuscript submissions. The selected candidate will work closely with the research team to support day-to-day study operations and ensure accurate and timely completion of research activities.
Hourly range: $28.69-$34.21</div></div></div></div></div></div></div></div><div>
Qualifications
Required:<ul><li>
Ability to coordinate data collection and data entry for research studies.</li><li>
Ability to interact appropriately and congenially with all staff, faculty, students, patients and the public at all times.</li><li>
Ability to schedule patient and administrative appointments accurately.</li><li>
Skill at prioritizing assignments and ability to work concurrently on several projects.</li><li>
Ability to function effectively with several interruptions.</li><li>
Ability to work independently and follow through on tasks with minimal direction</li><li>
High level ability in the use of a PC using all Windows applications.</li><li>
Ability to enter data and manage research data base.</li><li>
Ability in the use of SPSS.</li><li>
Skill in maintaining organized filing systems.</li><li>
Skill in editing reports, correspondence, manuals, etc., for grammar and punctuation.</li><li>
Ability to maintain confidentiality in the strictest sense.</li><li>
Skill in maintaining accurate timekeeping.</li><li>
Familiarity with child and adolescent psychiatric disorders.</li><li>
BA preferred</li></ul></div></div>

Staff Research Associate 1

JV Admissions Consulting

JV Admissions is a NYC-based college consulting firm specializing in tailored guidance for domestic and international students aiming for top U.S. universities. We&rsquo;re seeking a part-time Research Mentor with a background in Artificial Intelligence, Machine Learning, Computer Science, or related fields to guide high-achieving high school students through independent academic research projects.Application ProcessPlease submit your resume/CV and a brief cover letter outlining your academic background, research interests, and any prior mentoring, teaching, or technical experience to hello@jvadmissions.com with the subject line &ldquo;Research Mentor Application &ndash; AI/CS.&rdquo; You may visit www.jvadmissions.com to learn more about our approach and mission. Applications submitted without a cover letter will not be considered.Position OverviewThe Part-Time Research Mentor will work on a flexible, as-needed basis, with weekly hours varying depending on student demand. You&rsquo;ll meet with students virtually and guide them through developing a focused research project within artificial intelligence, machine learning, computer science, or related technical fields. Students are motivated and come from both domestic and international backgrounds.Key Responsibilities<ul><li>Lead weekly virtual mentorship sessions with assigned students</li><li>Help students explore and refine research interests within AI, machine learning, or computer science</li><li>Provide general guidance on technical research, problem-solving approaches, and evaluating credible sources</li><li>Offer high-level feedback on students&rsquo; ideas, project direction, and written work</li><li>Keep students organized, motivated, and progressing throughout the program</li><li>Maintain clear, professional communication with students, families, and the JV Admissions team</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree required; Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related fields strongly preferred</li><li>Academic or professional experience in AI, machine learning, computer science, or related technical disciplines</li><li>Graduated from top 10 or 20 schools (preferred)</li><li>Prior experience mentoring, teaching, tutoring, or supervising student projects is a plus</li><li>Strong analytical thinking and ability to explain technical ideas clearly</li><li>Organized, proactive, and comfortable working with families across time zones</li></ul>What We Offer<ul><li>Flexible Scheduling: Hours vary based on student needs and program demand</li><li>Professional Support: Training, guidance, and resources from our leadership team</li><li>Collaborative Culture: Regular check-ins and access to a network of mentors</li><li>Meaningful Impact: Help students explore cutting-edge fields and develop strong intellectual curiosity through research</li></ul>Job Type: Part-timePay: $40.00 - $50.00 per hourBenefits:<ul><li>Flexible schedule</li></ul>Application Question(s):<ul><li>Please submit your resume and a brief cover letter outlining background and relevant experience to hello@jvadmissions.com with the subject line &ldquo;Part-Time Research Mentor Application.&rdquo; Applications submitted without cover letter will not be considered. .</li></ul>Education:<ul><li>Doctorate (Preferred)</li></ul>Work Location: Remote

Part-Time Research Mentor (Sciences)

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
 
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology
 </li>
 <li>
 You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems
 </li>
 <li>
 Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
 
 
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
 </li>
 <li>
 Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
 </li>
 <li>
 Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
 </li>
 <li>
 Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
 </li>
 <li>
 Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
 </li>
 <li>
 Familiarity with software engineering best practices (version control, documentation, etc)
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 3 year PhD student and above
 </li>
 <li>
 Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
 </li>
 <li>
 Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
 </li>
 <li>
 Hands-on experience working at the intersection of AI and Biology
 </li>
 <li>
 Experience in large-scale distributed training and inference
 </li>
 <li>
 Open-source contributions, especially if used by others
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Research Scientist Intern

New York University Abu Dhabi

<div>
 The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.
 
 
 The Junior Research Scientist (AI-Blockchain Research) will support advanced, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED&rsquo;s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr. Yaw Nyarko, and Co-Principal Investigator (Co-PI), Dr. Ra&scaron;a Karapand&zcaron;a, the Junior Research Scientist will contribute to AI-driven and blockchain-enabled research related to commodities markets and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical proofs; implement optimization and simulation-based methods; and analyze large and complex datasets. Responsibilities include supporting experimental and field-based research, preparing literature reviews, translating complex AI and mathematical findings into clear written outputs, and contributing to research reports, concept notes, and academic publications.
 
 
 Candidates must hold a Master&rsquo;s degree in Computer Science, Data Science, Mathematics or a related field (e.g., Economics with a strong mathematics background). and have less than five years of relevant research experience; or hold a Bachelor&rsquo;s degree in a relevant field with any level of research experience. Applicants must have extensive coding experience, and preferably, applicants will have experience conducting field research in emerging countries and working on randomized controlled trials (RCTs). Applicants with experience working in programming languages such as Python, JavaScript, and/or MATLAB, a strong interest in economic and quantitative research and the willingness to learn about the blockchain, are encouraged to apply. Experience in web development, blockchain, commodities markets, and technology and economic development will be considered a plus. The successful candidate will work in a multidisciplinary environment, working autonomously, but as a team member under the direction of the Principal Investigator.
 
 
 The terms of employment are very competitive. Applications will be accepted immediately, and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae/resume, transcript of degree, and one academic writing sample, and 2 contact references, all in PDF format. If you have any questions, please email amp330@nyu.edu.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 Working for NYUAD
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 
 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
</div>

Junior Research Scientist in the Division of Social Science (CTED) - Dr. Yaw Nyarko

Search 10000+ Staff research scientist jobs near you this May. New roles added regularly across leading industries. Apply today.