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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>
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 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>
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 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
 
 
 
 
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 </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
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 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>
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 Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
 </li>
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 Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
 </li>
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 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>
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 Familiarity with software engineering best practices (version control, documentation, etc)
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 3 year PhD student and above
 </li>
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 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>
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 Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
 </li>
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 Hands-on experience working at the intersection of AI and Biology
 </li>
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 Experience in large-scale distributed training and inference
 </li>
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 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.
</div>

Research Scientist Intern

Charterhouse Middle East

<div>
 
 
 AED 40,000 - 50,000 Per Month, Plus Benefits
 
 
 
 
 
 
 Charterhouse are working with a highly respected and forward-thinking Family Office based in Abu Dhabi that is looking to hire a Senior AI Scientist to join their elite Product Support &amp; Design team. This is a rare opportunity to work on cutting-edge AI initiatives in a private, innovation-driven environment.
 
 
 
 
 
 The Senior AI Scientist will be at the forefront of research, development, and deployment of advanced Large Language Model (LLM) technologies. The role will focus on Retrieval-Augmented Generation (RAG), agent-based systems, and multimodal AI applications. The Senior AI Scientist will be looked upon to lead high-impact technical initiatives and collaborate with cross-functional experts to shape the future of AI within a discreet and well-resourced organization.
 
 
 
 
 
 Additionally, the Senior AI Scientist will be responsible for designing and implementing sophisticated LLM-based systems, overseeing the full lifecycle of LLM projects from pre-training to deployment. This role will involve conducting in-depth research into emerging technologies, designing prompt engineering strategies, and ensuring technical excellence through collaboration with internal stakeholders. The role will also analyse model performance and contribute to the development of industry-leading practices.
 
 
 
 
 
 The successful candidate will have extensive experience in developing and deploying LLMs for complex applications, with deep expertise in RAG, agent systems, and multimodal AI. The ideal candidate will be proficient in frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. A solid understanding of the underlying mechanics of NLMs and MLMs is crucial for this role.
 
 
 
 
 
 The candidate should come from a strong academic background, ideally a Master&rsquo;s or Ph.D. in Computer Science or a related field, is essential. The successful candidate should also have a proven track record in AI research, including publications, leader-board rankings, or contributions to industry standards, and be comfortable working in diverse, cross-functional teams.
 
 
 
 
 
 Excellent communication skills in English are essential.
 
</div>

Senior AI Scientist

Presight

<div>
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 
 
 We are looking for a highly skilled Senior Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 
 
 
 
 
 
 Senior Applied Scientist Responsibilities:
 
 
 
 
 
 <ul>
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 Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
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 Create code that is elegant and maintainable
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 Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
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 Work closely with software engineering and product development teams on tech selections and solutions.
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 When necessary, debug, optimize and aspire to make things pixel-perfect. Be willing to spend time in making things truly amazing, not just great.
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 </ul>
 <li>
 </li>
 
 
 Senior Applied Scientist Requirements:
 
 
 
 
 
 <ul>
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 PhD/Master's degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
 </li>
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 Must have done academic research in aforementioned fields for at least one year.
 </li>
 <li>
 Published articles on IEEE Transactions or other top-level journals, and/or on top-level AI/ ML) / CV conferences will be a definite advantage.
 </li>
 <li>
 Hands-on experience in feature extraction, feature (eye, pose, gesture, object) tracking, object recognition, object classification, image segmentation and scene understanding
 </li>
 <li>
 Experience in dealing with multi-sensor, multi-modal, multi-camera systems
 </li>
 <li>
 Minimum 7+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
 </li>
 <li>
 Experience in training and evaluating models using TensorFlow and Pytorch
 </li>
 <li>
 Experience with training large-scale systems on large data sets
 </li>
 <li>
 Fluent in C/C++ and Python with over 4 years of experience
 </li>
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 Track record of shipping working code and solutions based on your contributions
 </li>
 <li>
 Team player, ability to perform in cross functional teams and to share knowledge to others
 </li>
 <li>
 Good communication skills in English
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 </ul>
 
 
</div>

Senior Applied Scientist

Jobs via eFinancialCareers

<div>
 
 Organization
 
 
 
 Arab Monetary Fund
 
 
 
 Opening Date
 
 
 
 Monday, December 23, 2024 - 12:00 - Monday, June 30, 2025 - 12:00
 
 
 The Arab Monetary Fund aims to onboard a
 
 "Senior Data Scientist"
 
 in the Capacity Development and Innovation Department, reporting to the Knowledge and Innovation Division Chief.
 
 
 
 Job Purpose
 
 
 
 The Senior Data Scientist will manage, enhance, and align database management practices with international standards and ensure the reliability of the Arab Monetary Fund&rsquo;s economic database and the Arab Financial Markets database, in addition to applying advanced statistical methodologies to analyze data, facilitate results interpretation, and develop actionable insights to support the Arab Monetary Fund's flagship reports, studies, and other publications and facilitating decision-making processes and supporting key organizational activities through sophisticated data analysis and interpretation.
 
 
 
 Key Accountability Areas and Activities
 
 
 
 The key activities include, but are not limited to, the following:
 
 
 <ul>
 <li>
 Understand plans, drawings, technical specifications, and in-depth database parameters.
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 Align databases with the AMF's strategic objectives and ensure that their designs meet organizational, and member countries&rsquo; needs.
 </li>
 <li>
 Apply advanced statistical analysis methods to interpret complex data sets and translate raw data into actionable insights and recommendations to support decision-making and reporting.
 </li>
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 Interpret raw data and transform it into actionable insights, feedback, and applications that support decision-making and inform the organization's publications and activities.
 </li>
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 Use big data, machine learning and other technics to improve data availability and analysis.
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 Manipulate non-relational databases to extract key economic and financial developments.
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 Provide accurate and relevant data analyses to assist in the development of reports, studies, bulletins, and other publications.
 </li>
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 Ensure data integrity and relevance in all published materials.
 </li>
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 Automatize data transformation and manipulation to expedite processes.
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 Recommend improvements to data processes and systems to enhance functionality and support organizational objectives based on the best practices and latest technologies and technics in statistical analysis and database management.
 </li>
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 Collaborate closely with internal and external stakeholders to gather requirements, provide feedback, and deliver data-driven insights.
 </li>
 <li>
 Contribute to internal and external training effectively to both technical and non-technical audience.
 
 
 
 </li>
 </ul>
 
 Qualifications And Requirements
 
 
 
 <ul>
 <li>
 A minimum of 7 years of experience in database management experience, particularly in statistical or financial sectors
 </li>
 <li>
 Bachelor&rsquo;s degree in business administration, finance, economics, investment management or a related field
 </li>
 <li>
 Master&rsquo;s degree in statistics, data science, or a related field in database management or statistics
 </li>
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 Excellent communication and writing skills in Arabic and English. French, as a third language, is a solid advantage
 
 
 
 </li>
 </ul>
 We offer an attractive package of benefits aligned with our employment policies, including a tax-free salary and supplementary allowances as housing, furniture and air ticket, schooling, and comprehensive medical insurance.
 
 
 Only shortlisted candidates will be contacted.
 
 
</div>

Senior Data Scientist - Arab Monetary Fund

New York University Abu Dhabi

<div>
 The SANAD lab at NYUAD is hiring a a Research Assistant/Associate (RA) to work with Dr. Karim Ali in the Division of Science (Computer Science Program) at New York University Abu Dhabi. The candidate will conduct research on programming languages and software engineering, develop open-source tools and resources, and work on publications related to their research.
 
 
 The name SANAD ﻨﺳ(ﺪ), meaning "support" in Arabic, is short for Software Analysis and Developer Support, reflecting the lab&rsquo;s mission to assist developers as software systems become increasingly intricate. Specializing in program analysis and software analytics, the lab works on enhancing the precision and scalability of static analyses and mining insights from software repositories. Ongoing research projects include detecting API misuse, analyzing program performance, measuring energy consumption, detecting security vulnerabilities, supporting library migrations, and leveraging large language models (LLMs) for software engineering and static analysis tasks. More information can be found on https://sanadlab.org.
 
 
 Candidates must hold (or be close to completing) a bachelor&rsquo;s degree in Computer Science. As an RA, you will be involved in all aspects of our research, including conducting literature reviews, collecting and analyzing data, implementing tools, running experiments, and writing papers. This is an excellent opportunity to develop your research skills and your publication record, especially if you are considering pursuing a Master&rsquo;s or PhD degree.
 
 
 This is a full-time position with a 1-year contract, with potential to renew depending on performance and funding. The position is based at New York University in Abu Dhabi, and the candidate must be ready to relocate to the United Arab Emirates. The terms of employment are very competitive and include housing and other benefits. Applications will be reviewed immediately with an anticipated start date somewhere during Fall 2025.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science (coursework/projects must include software engineering related topics)
 </li>
 <li>
 Excellent programming skills
 </li>
 <li>
 Strong software engineering skills including use of version control systems, continuous integration, testing
 </li>
 <li>
 Excellent communication skills (both written and verbal)
 </li>
 <li>
 Demonstrated ability to work as part of a team
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Previous software engineering research experience
 </li>
 <li>
 Previous software engineering paper submission or publication
 </li>
 <li>
 Knowledge of use and/or development of generative AI, e.g., use of Large Language Models for certain (software engineering) tasks
 </li>
 <li>
 Industrial experience
 
 
 </li>
 </ul>
 To be considered, all applicants must submit a cover letter, curriculum vitae, transcripts of all degrees, a one-page research statement summarizing research accomplishments and research interests, and at least 2 letters of recommendation, all in PDF format. For applicants with previous research experience, one of the reference letters must be from their previous research project/position supervisor. Short-listed candidates will be invited for an online interview. The following assessments may be asked during the interview process: (1) delivering a short research talk on a project the candidate has worked on, (2) submitting a written review of a research paper, and/or (3) implementing a short coding task. If you have any questions, please email: karim.ali@nyu.edu
 
 
 
 About NYUAD
 
 
 
 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
</div>

Research Assistant/Associate in the Division of Science (Computer Science) - Dr. Karim Ali

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Chemical and Petroleum Engineering Department at the United Arab Emirates University is seeking a highly motivated and skilled Research Assistant to conduct advanced research on fines migration and its implications for hydrocarbon recovery and reservoir management. This position offers a unique opportunity to work on cutting-edge research projects, collaborate with a multidisciplinary team, and contribute to scientific advancements in the field of petroleum reservoir engineering. Key Responsibilities
 
 
 <ul>
 <li>
 Conduct experimental and theoretical studies on fines migration in porous media, including its impact on permeability, formation damage, and oil recovery.
 </li>
 <li>
 Develop models and simulations to predict fines behavior under various reservoir conditions.
 </li>
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 Design and execute laboratory experiments to investigate fines mobilization, deposition, and control mechanisms.
 </li>
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 Analyze data and interpret findings to generate high-quality research outputs.
 </li>
 <li>
 Publish research findings in high-impact journals and present at international conferences.
 
 
 </li>
 </ul>
 Minimum Qualification
 
 
 Education:
 
 
 <ul>
 <li>
 MSc in Petroleum Engineering, or a closely related field. Technical Expertise:
 </li>
 <li>
 Strong background in fines migration, formation damage, or reservoir engineering.
 </li>
 <li>
 Hands-on experience with laboratory equipment (e.g., core flooding apparatus, particle analyzers).
 </li>
 <li>
 Proficiency in reservoir simulation software and computational modeling tools. Research Skills:
 </li>
 <li>
 Proven track record of publications in peer-reviewed journals.
 </li>
 <li>
 Experience with data analysis and visualization tools (e.g., MATLAB, Python).
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Knowledge of enhanced oil recovery techniques and their interaction with fines migration.
 </li>
 <li>
 Experience with advanced characterization techniques.
 </li>
 <li>
 Familiarity with industry-standard software like CMG, Eclipse, or Petrel.
 
 
 </li>
 </ul>
 Special Instructions to Applicant
 
 
 Submit a detailed CV
 
 
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 30/11/2025
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Research Assistant

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Senior Data Scientist - Arab Monetary Fund

Research Assistant/Associate in the Division of Science (Computer Science) - Dr. Karim Ali

Research Assistant