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lead data scientist

Hays

<div>
 
 
 Lead Data Scientist
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 We&rsquo;re looking for a dynamic Lead Data Scientist to drive end-to-end delivery of impactful AI and data science solutions. You&rsquo;ll lead a small, high-performing team, work closely with senior stakeholders, and champion data-driven decision-making across the business. This is a hands-on leadership role ideal for someone with a fintech or start-up background who thrives in fast-paced, agile environments.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Lead and mentor a team of data scientists, fostering a collaborative and innovative culture.
 </li>
 <li>
 Own delivery of AI/ML projects from ideation to deployment.
 </li>
 <li>
 Engage with senior stakeholders to align data initiatives with business goals.
 </li>
 <li>
 Identify and develop high-impact use cases across functions (Ops, Marketing, Finance).
 </li>
 <li>
 Drive agile, iterative development and ensure timely, high-quality execution.
 </li>
 </ul>
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 
 
 <ul>
 <li>
 8+ years of experience in data science, with 2+ years in a leadership role.
 </li>
 <li>
 Proven track record of delivering end-to-end AI/ML solutions.
 </li>
 <li>
 Strong stakeholder management and communication skills.
 </li>
 <li>
 Experience in fintech or start-up environments preferred.
 </li>
 <li>
 Proficiency in Python, SQL, and modern ML frameworks.
 </li>
 <li>
 Wholesome data science experience (LLM&rsquo;s, AI automation, GenAI, advanced analytics)
 </li>
 <li>
 Quantitative finance implementation (desired)
 </li>
 </ul>
</div>

Lead Data Scientist

Emirates Global Aluminium (EGA)

<div>
 Job description:
 
 
 
 JOB PURPOSE:
 
 
 The Principal Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Principal Data Scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. He/ she is also responsible to define and implement DS standards and toolkit within EGA, and build and nurture the Data Science community within and beyond the CoE.
 
 
 &nbsp;
 
 
 KEY ACCOUNTABILITIES:
 
 <ul>
 <li>
 Effectively communicate the analytics approach and how it will meet and address objectives to business partners
 </li>
 <li>
 Advocate and educate on the value of data driven decision making focusing on the &ldquo;how and why&rdquo; of solving problems
 </li>
 <li>
 Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
 </li>
 <li>
 Expert in Developing data science capability and can advocate the importance of continuous learning to the data science team. knows how to develop data science capability across the wider organisation and in industry. Sets as a role model of best practice through demonstration of his own self-directed learning. You set the data science curriculum across the organisation.
 </li>
 <li>
 Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
 </li>
 <li>
 Ensure consistent and high quality data science standards and tools are deployed and developed within the organization
 </li>
 <li>
 Engineer features by using business acumen to find new ways to combine disparate internal and external data sources
 </li>
 <li>
 Share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards
 </li>
 <li>
 Collaborate, coach, and learn with a growing team of experienced Data Scientists
 </li>
 <li>
 provides leadership and direction across a programme of multidisciplinary data science projects, managing resources to ensure delivery.
 </li>
 <li>
 Recognised as a strategic authority with technical expertise in cutting-edge techniques, defining vision across the organisation
 </li>
 <li>
 Communicates with senior stakeholders and convince them of the strategic value of applying data science
 </li>
 <li>
 Stay connected with external sources of ideas through conferences and community engagements
 </li>
 </ul>
 
 &nbsp;
 
 
 AUTHORITY/ DECISION MAKING:
 
 <ul>
 <li>
 Thinking within broadly defined policies, standards and objectives. The determination of &ldquo;what needs to be done&rdquo; in applying polices is largely left up to the incumbent who must establish the plan, determine the priorities and prescribe the processes needed to achieve the objectives
 </li>
 <li>
 Subject to general direction and broadly defined functional policy objectives. Actions which will impact other functional or operating areas usually require approval before they may be implemented.
 </li>
 </ul>
 
 &nbsp;
 
 
 QUALIFICATIONS &amp; SKILLS:
 
 
 Qualifications
 
 <ul>
 <li>
 MS or PhD in Data Science, Computer Science, Engineering, Statistics.
 </li>
 <li>
 Programming languages knowledge, ideally in Python, R and SQL
 </li>
 </ul>
 
 &nbsp;
 
 
 Minimum Experience and Domain knowledge
 
 <ul>
 <li>
 10+ years&rsquo; of relevant experience in a statistical and data science role
 </li>
 <li>
 Should have Domain expertise and knowledge in Metal &amp; Mining or Energy or a combination of both industries and can communicate the business benefit of data science products, championing and governing these across the organisation. Communicates relevant, compelling stories in the most appropriate medium and ensures that data governance and data ethics are embedded in organisational strategy. Expert in aligning data science priorities with wider organisational objectives - for example, budget.
 </li>
 <li>
 Practices applied maths, statistics, and scientific practices, knows how to develop deeper expertise on a narrower range of specialisms and can start to apply emerging theory to practical situations.
 </li>
 <li>
 Proficiency working with Data Frames and writing complex SQL queries
 </li>
 <li>
 Proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
 </li>
 <li>
 Proven ability to merge and transform disparate internal &amp; external data sets together to create new features&nbsp;
 </li>
 <li>
 Experience of visualizing/presenting data for stakeholders using: Tableau, R Shiny, Plotly, Power BI, Periscope, Business Objects, D3, ggplot etc.
 </li>
 <li>
 Practices different Programming languages and knows how to develop, code, test, correct and document simple programs or scripts part of a multidisciplinary team. Knowledge of additional programming languages is a plus (C++, Java, SPSS, SAS, Scala)
 </li>
 <li>
 Strong knowledge of one or more data science or decision science domains (e.g. explainable artificial intelligence, econometrics, deep learning, Natural Language Processing, time series forecasting, deployment, causal inference, uplift modelling, and/or optimization)
 </li>
 <li>
 Expert working with data engineers to map, produce, transform and test new data feeds for data owners and consumers, selecting the most appropriate tools and technologies. Leads ad hoc data exploration in a wide variety of data serialisation and storage formats, from across the business.
 </li>
 <li>
 Understands and can help teams apply a range of techniques to analyse data and provide insight across the product life cycle (data science). Proactive and can present compelling findings that inform wider decisions and applies innovative approaches to resolve problems.
 </li>
 <li>
 Knowledge of distributed computing or NoSQL technologies is a bonus
 </li>
 <li>
 Experience in automation &amp; control system and training in similar fields is valued.
 </li>
 </ul>
 
 &nbsp;
 
 
 Agile/Digital Experience
 
 <ul>
 <li>
 Experience of working with large data sets relational databases (SQL), simulation/ optimization and distributed computing tools (MapReduce, Hadoop, Hive, Spark, MySQL, H20.ai, Cloud AI platforms, containerization etc.) is desired.
 </li>
 <li>
 Experience with supporting deployment, monitoring, maintenance and enhancement of models desired
 </li>
 </ul>
 
 &nbsp;
 
 
 Individual Skills
 
 <ul>
 <li>
 Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
 </li>
 <li>
 Bias for action, with ability to deliver outstanding results through task prioritization and time management
 </li>
 <li>
 Demonstrated ability to efficiently learn and solve new business domains and problems
 </li>
 <li>
 Number sense; healthy skepticism around validity of data and its inherent biases
 </li>
 </ul>
 
 &nbsp;
 
 
 Mindset &amp; Behaviors
 
 <ul>
 <li>
 Intellectual curiosity to understand and answer questions
 </li>
 <li>
 Intellectual humility to leverage the expertise of others
 </li>
 <li>
 Exemplary organizational skills with attention to detail &amp; accuracy
 </li>
 <li>
 Ability to coach, mentor, and collaborate with squad members
 </li>
 </ul>
</div>

Principal Data Scientist

Salt

<div>
 
 
 Job Title: Clinical AI Scientist &ndash; Utilization Management Focus
 
 
 
 
 Location: Dubai / Abu Dhabi, UAE (Hybrid)
 
 
 
 
 
 
 
 Role Summary:
 
 
 
 My client is seeking a
 
 Clinical AI Scientist
 
 with deep expertise in
 
 Utilization Management (UM)
 
 to join their Data &amp; AI team.
 
 
 
 
 
 This role sits at the intersection of clinical operations and AI innovation. Focused on validating and continuously improving AI driven solutions for prior authorization, concurrent review, inpatient/outpatient
 
 
 adjudication, and medical necessity assessments.
 
 
 
 
 
 The ideal candidate combines clinical acumen with a working knowledge of AI/ML systems to serve as a subject matter expert in testing, auditing, and optimizing AI models integrated into our health insurance platform.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Act as the clinical lead for validating AI solutions deployed in utilization management workflows.
 
 
 &bull; Collaborate with data scientists and engineers to test AI model performance using real-world claims, authorization, and clinical data.
 
 
 &bull; Review and audit model outputs
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 Clinical Experience:
 
 
 
 &bull; RN, MD, or advanced clinical degree (e.g., NP, PA) required.
 
 
 &bull; Minimum 5 years of experience in Utilization Management, Prior Authorization,
 
 
 Case Review, or Medical Necessity Review in a payer or health-tech setting.
 
 
 
 AI/Data Familiarity:
 
 
 
 &bull; Basic proficiency with data science tools (e.g., SQL, Python, Excel).
 
 
 &bull; Experience working with or supporting development/testing of AI/ML models is
 
 
 strongly preferred.
 
</div>

Clinical AI Scientist – Utilization Management Focus

the ENTERTAINER

<div>
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 
 
 The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that "experience is everything," and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.&nbsp;
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization.
 
 
 
 
 
 
 
 
 
 As a Data Scientist you will
 
 
 
 
 
 
 
 
 Strategic Impact &amp; Business Influence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Define and execute a holistic data science strategy aligned with B2C growth goals.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Product &amp; Business Intelligence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.&nbsp;
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Analytics Engineering &amp; Infrastructure
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Lead development of dashboards and self-serve analytics tools for key stakeholders.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in designing experiments (A/B testing) and statistical inference techniques.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with modern data visualization tools like Tableau, Power BI.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Core Competencies
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Excellent communication and storytelling skills to influence executive stakeholders.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Track record of delivering high-impact insights and building analytics capabilities from scratch.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong mentoring, coaching, and cross-functional collaboration abilities.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Competitive salary and benefits package.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Opportunity to work with an energetic and innovative company.
 
 
 
 
 </li>
 <li>
 
 
 
 
 A chance to contribute to the success of a well-known UAE brand.
 
 
 
 
 </li>
 </ul>
</div>

Data Scientist

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

oryxsearch.io

<div>
 
 
 Role: Senior/Lead- AI/ML Scientist &ndash; Personalization &amp; GenAI (Dubai based)
 
 
 
 
 
 
 Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you&rsquo;ll help define the future of personalization and user engagement using Generative AI and advanced machine learning.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end AI transformation focused on personalization in a consumer-facing application.
 </li>
 <li>
 Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI.
 </li>
 <li>
 Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements.
 </li>
 <li>
 Design and deploy data/ML instrumentation to extract insights and optimize the product experience.
 </li>
 <li>
 Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses.
 </li>
 <li>
 Build and scale machine learning algorithms and pipelines to production using big data technologies.
 </li>
 <li>
 Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications.
 </li>
 <li>
 Design and evaluate A/B tests and communicate results across cross-functional teams.
 </li>
 <li>
 Define, implement, and monitor key performance metrics for AI-driven product features.
 </li>
 <li>
 Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data.
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred)
 </li>
 <li>
 Deep experience in personalization, search, or recommendation systems (3&ndash;4 years in a product-focused environment).
 </li>
 <li>
 Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models).
 </li>
 <li>
 Hands-on experience with LLMs and GenAI technologies.
 </li>
 <li>
 Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive.
 </li>
 <li>
 Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design.
 </li>
 <li>
 Solid background in ranking, recommendation, and retrieval systems.
 </li>
 <li>
 Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.).
 </li>
 <li>
 Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy.
 </li>
 <li>
 Bonus: Experience with geospatial data and advanced analytics platforms.
 </li>
 </ul>
 
 
</div>

Senior / Lead AI Scientist (Personalisation & GenAI)

International Center for Biosaline Agriculture

<div><div>The International Center for Biosaline Agriculture(ICBA) is an international, non-profit agricultural research center established in 1999 through the visionary leadership of the Islamic Development Bank (IsDB), the Organization of the Petroleum Exporting Countries (OPEC) Fund, the Arab Fund for Economic and Social Development (AFESD), and the Government of the United Arab Emirates (UAE). ICBA is a unique applied agricultural research center in the world that is focused on marginal areas where an estimated 1.7 billion people live. It identifies, tests and introduces resource-efficient, climate-smart crops and technologies that are best suited to different regions affected by salinity, water scarcity and drought. Through its work, ICBA helps to improve food security and livelihoods for some of the poorest rural communities around the world. ICBA is an equal opportunity employer and appoints qualified staff regardless of race, creed, color, age, gender, religion or national origin. We demonstrate our commitment to each member of our team through a competitive benefits package designed to assist our employees to cover their needs and the needs of their immediate family members.</div>
<div><div>Job Summary</div>
<div>ICBA is looking for a highly skilled and motivated scientist with expertise in genomics, molecular biology, and marker-assisted breeding to join our research team. The successful candidate will play a key role in advancing our understanding of genetics and genomics to speed-up breeding programs. The scientist will further be responsible for designing and conducting experiments, analyzing genomic data, and trait-based marker development and marker-assisted germplasm enhancement applications in the ICBA breeding program, with a focus on tolerance to abiotic stresses, like salinity, heat, and drought etc.</div>
</div><div><div>Job Responsibilities</div>
<div><ul><li>Lead innovative resource mobilization efforts to strengthen the plant molecular biology research program at ICBA in close collaboration with similar research organizations</li><li>
Carry out innovative, impactful research on plant molecular biology that has strategic importance to ICBA in consultation with the plant breeding team, with a focus on prioritized crops.</li><li>
Design and conduct high-throughput sequencing experiments to analyze and understand plant genomes.</li><li>
Perform genetic mapping and linkage analysis to identify marker-trait associations for key crop specific traits as per product profiles.</li><li>
Identify genetic markers (SNPs/PCR-based) associated with desirable traits, high-throughput genotyping technologies involving novel molecular tools.</li><li>
Develop and implement marker-assisted breeding strategies to introgress beneficial traits into crop varieties.</li><li>
Contribute to the design of relevant experiments; supervise implementation, field management and data collection, and the production of relevant scientific publications.</li><li>
Collaborate with breeding and bioinformatic teams to provide genomic information to the breeding programs for better trait understanding and their integration into breeding pipelines</li><li>
Conduct DNA fingerprinting and molecular profiling of various crop varieties developed by ICBA and selected gene bank accessions.</li><li>
Collaborate effectively with interdisciplinary teams including molecular biologists, breeders, and bioinformaticians.</li><li>
Communicate research findings through presentations, reports, and scientific publications.</li><li>
Oversee and manage the ICBA molecular biology laboratory and its activities, ensuring adherence to safety protocols and standard operating procedures.</li><li>
Train and mentor other researchers, technicians, and students.</li></ul></div>
</div><div><div>Qualifications and Experience</div>
<div>Essential:<ul><li>
Post-PhD minimum five-year experience in Plant Molecular Biology / Plant Biotechnology or related fields</li><li>
Proven practical experience in MAS Breeding and particularly field breeding programs on climate resilient crops suited to biosaline and arid environments</li><li>
Proficiency in various PCR-based markers, high-throughput genotyping technologies and novel molecular tools.</li><li>
Experience in managing and analyzing huge data sets of genomic data, and integrating into prioritized breeding programs.</li><li>
Fluency in English, ability to work with minimal supervision and a team player.</li><li>
High level of organization, ability to manage multiple tasks in a diverse environment.</li><li>
Excellent technical writing skills and proven relevant publication record</li></ul>
Desirable:<ul><li>
Hands-on proficiency with genome sequencer operations</li><li>
Familiarity with breeding programs of climate-resilient crops, quinoa and other halophytes.</li><li>
Knowledge of statistical analysis methods for genetic data interpretation.</li><li>
Knowledge of Arabic</li></ul></div></div></div>
 <div><div><div>Post Date</div>
<div>2 September 2025</div>
</div><div><div>Status</div>
<div>Open</div>
</div><div><div>Vacancy Type</div>
<div>Full-time</div>
</div><div><div>Closing Date</div>
<div>16 September 2025</div>
</div><div><div>Location</div>
<div>Dubai, UAE</div>
</div><div><div>Report To</div>
<div>Program Leader - CDG</div>
</div><div><div>Job Number</div>
<div>ICBA-DP-2025-003</div></div></div>

Scientist - Plant Molecular Biology

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