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<div>
 
 
 Senior Computational Biologist (AI/ML)
 
 
 
 
 United Arab Emirates
 
 
 
 
 Health Tech
 
 
 
 
 
 
 
 ** This role is open to candidates to work remotely with regular travel to UAE OR relocate to the UAE permanently **
 
 
 
 
 
 
 We are currently looking for a Senior Computational Biologist / Scientist to join a health tech company based out of Dubai.
 
 
 
 
 
 
 Technical experience needed:
 
 
 <ul>
 <li>
 Solid Python programming experience
 </li>
 <li>
 Proven AI experience (des, build, deploy)
 </li>
 <li>
 Rosetta / PyRosetta / AlphaFold, Schr&ouml;dinger etc.
 </li>
 <li>
 Antibody modeling
 </li>
 <li>
 Machine Learning &amp; Deep Learning (+ Docker)
 </li>
 <li>
 Protein to protein interaction, structure prediction &amp; engineering
 </li>
 <li>
 Molecular simulation techniques
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 PhD Bioinformatics or other relevant scientific degree
 </li>
 <li>
 Proven background in research and publications
 </li>
 </ul>
 
 
 
 
 If you feel like you have the above skills and experience please apply and share your CV with us so that we can arrange a confidential conversation.
 
 
 
 
 
 
 **Only applicants with the relevant skillset will be contacted**
 
 
</div>

Senior Computational Biologist (AI/ML)

Dataiku

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
In this role, you'll help the team:
<ul>
<li>
Co-develop production-level data science projects with our customers
</li>
<li>
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
</li>
<li>
Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
</li>
<li>
Provide data science expertise both to customers and internally to Dataiku s sales and marketing teams
</li>
<li>
Develop custom Python-based plugins in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku s functionality
</li>
</ul>
Technical skills that may help you in the role:
<ul>
<li>
Experience with Consulting and/or Customer-facing Data Science roles
</li>
<li>
Experience with Data Engineering or MLOps
</li>
<li>
Experience developing WebApps in JavaScript, RShiny, or Dash
</li>
<li>
Experience building APIs
</li>
<li>
Experience using enterprise data science tools
</li>
<li>
Passion for teaching or public speaking
</li>
</ul>

Senior Data Scientist

<div>
 Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Anonymous

<div>
 
 We are establishing the scientific foundation for enterprise AI at planetary scale. This is not
 
 
 applied research &mdash; it is the pursuit of intelligence itself as a governed substrate.
 
 
 
 
 
 We seek a Chief Scientist to lead the exploration of frontier sciences where theory meets
 
 
 platform, and platform becomes market.
 
 
 
 
 
 
 The Mandate
 
 
 
 &bull; Pioneer methodologies that allow intelligence to reason, adapt, and evolve reflexively.
 
 
 &bull; Fuse mathematics, computation, and systems science into operational frameworks.
 
 
 &bull; Establish new scientific standards that will define the next trillion-dollar enterprise.
 
 
 
 
 
 
 Who You Are
 
 
 
 &bull; A scientist of uncommon breadth, bridging machine learning, reasoning systems, and
 
 
 complex systems theory.
 
 
 &bull; Capable of transforming deep research into scalable enterprise systems.
 
 
 &bull; Motivated to shape not just papers or prototypes, but the foundations of a global
 
 
 intelligence protocol.
 
 
 
 
 
 If your work belongs not only in journals, but in the substrate of intelligence itself, this is
 
 
 your invitation.
 
 
 
 
 
 We open to Global applications.
 
</div>

Chief Scientist- Leading the Frontier of Intelligence Science

Accord Business Group

<div>
<div>
<div>
 Department/Group: PSD
 Reporting to: Solution Development Director
</div>
</div>
 Position Type: full-time
 
</div>
 Essential Duties &amp; Key Responsibilities: 
<ul>
<li>Support the team as they identify business problems and develop an offering vision. Support to include planning, research, and development of POCs.</li>
<li>Collaboratively translate business requirements into functional specifications. Produce appropriate documentation and actively participate in developing technology and workflow solutions.</li>
<li>Able to solve complex data science problems including problem framing, data preparation, model building, model deployment, model management, and output consumption</li>
<li>Strong data management skills for data extraction from relational databases, NoSQL databases, flat files, and data preparation, data quality assessment, and structuring the modeling data mart</li>
<li>Strong fundamentals of applied data science in a business setting</li>
<li>Strong analytical and problem-solving skills required, including a thorough understanding of how to interpret customer business needs and translate them into solution and operational requirements</li>
<li>Hands-on experience building and implementing predictive models using machine learning algorithms R or Python Language</li>
<li>Gathering business requirement and converting to technical design</li>
<li>Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability</li>
<li>Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world</li>
<li>Verifying data quality, and/or ensuring it via data cleaning</li>
<li>Supervising the data acquisition process if more data is needed</li>
<li>Finding available datasets online that could be used for training Defining validation strategies</li>
<li>Defining the pre-processing or feature engineering to be done on a given dataset</li>
<li>Defining data augmentation pipelines</li>
<li>Training models and tuning their hyperparameters</li>
<li>Analyzing the errors of the model and designing strategies to overcome them</li>
<li>Coding and Deploying models to production</li>
<li>Testing the performance of the models</li>
<li>Working with integration team and source systems team for seamless integration of data from source system.</li>
<li>Perform ETL data flow, source-target data mapping and creation of Data Mart, Data Model and staging area for data loading.</li>
<li>Strong customer interaction experience</li>
</ul>
 Job Specifications 
<ul>
<li>7+ yrs. of experience in advanced analytics and predictive modeling (related to Telecom CVM Analytics) and in real-world business experience in a data science role</li>
<li>Ability to understand/translate customer business needs into data requirements and analytical techniques</li>
<li>Support data acquisition, validation, cleaning/preparation, and management from incoming data sources to facilitate analysis. Fluency in SQL is required.</li>
<li>Covering the areas of full Analytics life cycle, from data preparation to advanced analytics predictive modelling, AI and dynamic dashboards for data visualization and ML-Ops</li>
<li>Telecom experience is required at least 4 years</li>
<li>High communication skills, Ability to communicate with and instruct people with various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical SAS users</li>
<li>Have excellent programming skills</li>
<li>Have excellent English oral and written skills</li></ul>

Glow Beauty On Demand

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

Data Scientist - Advanced Analytics & AI Solutions

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

Data Scientist - Advanced Analytics & AI Solutions Dubai UAE

Explore 3791+ Senior research scientist in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

3791 senior research scientist jobs IN Dubai United Arab Emirates

Senior Computational Biologist (AI/ML)

Senior Data Scientist

Senior Data Scientist

Chief Scientist- Leading the Frontier of Intelligence Science

Senior Data Scientist

Data Scientist - Advanced Analytics & AI Solutions

Data Scientist - Advanced Analytics & AI Solutions Dubai UAE