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talabat

<div>
 talabat is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Role Summary:
  <br/>
  <br/>
 </strong>
 The Growth Data Science Director will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue optimization for tmart and Quick commerce.
 <br/>
 <br/>
 This leader will drive business impact through the design, execution, and interpretation of experiments, empowering product, marketing, and operations teams to make data-informed decisions.
 <br/>
 <br/>
 <strong>
  What&rsquo;s On Your Plate?
  <br/>
  <br/>
 </strong>
 <strong>
  Data Science
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Responsible for defining and executing a comprehensive data strategy that aligns with the company's goals, leveraging data to drive business decisions and achieve strategic objectives.
  </li>
  <li>
   Lead cross-functional teams to design and implement innovative data-driven products and analytics insights, to deliver measurable impact on business outcomes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experimentation &amp; Causal Inference
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and oversee frameworks for rigorous A/B testing, multi-armed bandit testing, and quasi-experimental designs.
  </li>
  <li>
   Establish best practices for hypothesis formulation, testing methodologies, and causality analysis to ensure valid and actionable insights.
  </li>
  <li>
   Drive adoption of experimentation as a core decision-making process across the company.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Analytics &amp; Insights
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with cross-functional stakeholders to translate business challenges into well-defined analytical problems.
  </li>
  <li>
   Present clear, data-driven recommendations to senior leadership and executive teams.
  </li>
  <li>
   Ensure statistical rigor and best practices in all analyses conducted by the data science team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strategic Leadership and Business Acumen
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrate strategic leadership skills and an understanding of how data science can drive business success.
  </li>
  <li>
   Articulate your vision for your area and align your team&rsquo;s work with broader organizational goals.
  </li>
  <li>
   Identify emerging trends and technologies that can drive value for the business and take steps to incorporate them into your team&rsquo;s work.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration and Influence
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work collaboratively with a wider range of stakeholders, including senior executives, product managers, and engineers.
  </li>
  <li>
   Build strong partnerships across the organization, communicate effectively, and influence decision-making.
  </li>
  <li>
   Manage relationships with external partners, such as vendors or academic institutions, and represent the organization in industry events and conferences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Resource Management
  <br/>
  <br/>
 </strong>
 <strong>
  As a director, you will have responsibility for managing a larger team of data scientists, analysts, and engineers, as well as budgets and resources.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Make data-driven decisions about resource allocation, prioritize projects and initiatives, and manage risk effectively.
  </li>
  <li>
   Coach and mentor other managers within your team, helping them to develop their skills and grow as leaders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strategic Hiring and Talent Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Responsible for recruiting and retaining top talent within your organization.
  </li>
  <li>
   Work with HR and recruiting teams to develop job descriptions and identify candidates, as well as creating onboarding and training programs to help new hires get up to speed quickly.
  </li>
  <li>
   Develop career paths for your team members, set expectations for their growth and development, and provide regular feedback and coaching to help them achieve their goals.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Organizational Change Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage organizational change effectively, whether it involves new technologies, processes, or initiatives.
  </li>
  <li>
   Communicate the rationale for change, involve key stakeholders in decision-making, and manage resistance effectively.
  </li>
  <li>
   Develop and implement change management plans that minimize disruption and ensure that your team is able to adapt to new ways of working.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  What Did We Order?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A minimum of 8-10 years of professional experience in data science, including leadership roles in data science teams or consulting.
  </li>
  <li>
   A Ph.D. or Master's degree in a relevant field such as computer science, statistics, data science, or a related disciplines
  </li>
  <li>
   Proven experience in leading and managing managers and a demonstrated ability to foster a high-performance team culture.
  </li>
  <li>
   Must possess a deep and practical knowledge of data science, encompassing statistics, causality, experimentation, and causal inference, as well as knowledge in modeling.
  </li>
  <li>
   Must have a track record of applying these skills and leading teams to design and implement innovative data-driven products and deliver impactful insights and recommendations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Acumen
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven ability to understand and navigate complex business landscapes, including familiarity with industry-specific challenges and opportunities.
  </li>
  <li>
   Demonstrated experience in identifying and quantifying the business impact of data-driven initiatives, such as revenue growth, cost savings, and customer retention.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strategic Thinking
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strategic mindset with the ability to envision and communicate long-term data-driven goals and objectives that align with the organization's overall strategy.
  </li>
  <li>
   Proficiency in developing and executing data-driven roadmaps and plans that drive innovation, competitive advantage, and market growth.
  </li>
 </ul>
</div>


Director Data Scientist - Analysis

Delivery Hero

<div><b>Company Description</b><p><br>
talabat is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><b><br>
Job Description</b><p><b><br>
Role Summary:</b></p><p>
The Growth Data Science Director will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue optimization for tmart and Quick commerce.</p><p>
This leader will drive business impact through the design, execution, and interpretation of experiments, empowering product, marketing, and operations teams to make data-informed decisions.</p><p><b>
What&rsquo;s On Your Plate?</b></p><p><b>
Data Science</b></p><ul><li>
Responsible for defining and executing a comprehensive data strategy that aligns with the company's goals, leveraging data to drive business decisions and achieve strategic objectives.</li><li>
Lead cross-functional teams to design and implement innovative data-driven products and analytics insights, to deliver measurable impact on business outcomes.</li></ul><p><b>
Experimentation &amp; Causal Inference</b></p><ul><li>
Develop and oversee frameworks for rigorous <b>A/B testing</b>, multi-armed bandit testing, and quasi-experimental designs.</li><li>
Establish best practices for <b>hypothesis formulation, testing methodologies, and causality analysis</b> to ensure valid and actionable insights.</li><li>
Drive adoption of experimentation as a core decision-making process across the company.</li></ul><p><b>
Analytics &amp; Insights</b></p><ul><li>
Partner with cross-functional stakeholders to translate business challenges into well-defined analytical problems.</li><li>
Present clear, data-driven recommendations to senior leadership and executive teams.</li><li>
Ensure statistical rigor and best practices in all analyses conducted by the data science team.</li></ul><p><b>
Strategic Leadership and Business Acumen</b></p><ul><li>
Demonstrate strategic leadership skills and an understanding of how data science can drive business success.</li><li>
Articulate your vision for your area and align your team&rsquo;s work with broader organizational goals.</li><li>
Identify emerging trends and technologies that can drive value for the business and take steps to incorporate them into your team&rsquo;s work.</li></ul><p><b>
Collaboration and Influence</b></p><ul><li>
Work collaboratively with a wider range of stakeholders, including senior executives, product managers, and engineers.</li><li>
Build strong partnerships across the organization, communicate effectively, and influence decision-making.</li><li>
Manage relationships with external partners, such as vendors or academic institutions, and represent the organization in industry events and conferences.</li></ul><p><b>
Resource Management</b></p><p><b>
As a director, you will have responsibility for managing a larger team of data scientists, analysts, and engineers, as well as budgets and resources.</b></p><ul><li>
Make data-driven decisions about resource allocation, prioritize projects and initiatives, and manage risk effectively.</li><li>
Coach and mentor other managers within your team, helping them to develop their skills and grow as leaders.</li></ul><p><b>
Strategic Hiring and Talent Development</b></p><ul><li>
Responsible for recruiting and retaining top talent within your organization.</li><li>
Work with HR and recruiting teams to develop job descriptions and identify candidates, as well as creating onboarding and training programs to help new hires get up to speed quickly.</li><li>
Develop career paths for your team members, set expectations for their growth and development, and provide regular feedback and coaching to help them achieve their goals.</li></ul><p><b>
Organizational Change Management</b></p><ul><li>
Manage organizational change effectively, whether it involves new technologies, processes, or initiatives.</li><li>
Communicate the rationale for change, involve key stakeholders in decision-making, and manage resistance effectively.</li><li>
Develop and implement change management plans that minimize disruption and ensure that your team is able to adapt to new ways of working.</li></ul><br>
<b>
Qualifications</b><p><b><br>
What Did We Order?</b></p><ul><li>
A minimum of 8-10 years of professional experience in data science, including leadership roles in data science teams or consulting.</li><li>
A Ph.D. or Master's degree in a relevant field such as computer science, statistics, data science, or a related disciplines</li><li>
Proven experience in leading and managing managers and a demonstrated ability to foster a high-performance team culture.</li><li>
Must possess a deep and practical knowledge of data science, encompassing statistics, causality, experimentation, and causal inference, as well as knowledge in modeling.</li><li>
Must have a track record of applying these skills and leading teams to design and implement innovative data-driven products and deliver impactful insights and recommendations</li></ul><p><b>
Business Acumen:</b></p><ul><li>
Proven ability to understand and navigate complex business landscapes, including familiarity with industry-specific challenges and opportunities.</li><li>
Demonstrated experience in identifying and quantifying the business impact of data-driven initiatives, such as revenue growth, cost savings, and customer retention.</li></ul><p><b>
Strategic Thinking:</b></p><ul><li>
A strategic mindset with the ability to envision and communicate long-term data-driven goals and objectives that align with the organization's overall strategy.</li><li>
Proficiency in developing and executing data-driven roadmaps and plans that drive innovation, competitive advantage, and market growth.</li></ul></div>

Fuse Energy

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and implement models for our energy supply business using Python and other data science tools
  </li>
  <li>
   Identify, analyze, and mitigate credit risk
  </li>
  <li>
   Conduct data analysis and modeling to support risk management decisions
  </li>
  <li>
   Stay current with industry developments and regulations related to credit risk management
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience as a quantitative researcher or data scientist
  </li>
  <li>
   Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
  </li>
  <li>
   Strong statistical and modeling skills
  </li>
  <li>
   Strong communication and collaboration skills
  </li>
  <li>
   Experience in the energy industry is a plus
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and a stock options sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs!
  </li>
  <li>
   28 days paid annual leave per year including public holiday
  </li>
 </ul>
</div>


Quantitative Researcher

Hays

<div>
 <p>
  <strong>
   Lead Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  About the Role:
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities:
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  What You&rsquo;ll Bring:
 </p>
 <p>
  <br/>
 </p>
 <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

Salt

<div>
 <p>
  <strong>
   Job Title: Clinical AI Scientist &ndash; Utilization Management Focus
  </strong>
 </p>
 <p>
  <strong>
   Location: Dubai / Abu Dhabi, UAE (Hybrid)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Summary:
  </strong>
 </p>
 <p>
  My client is seeking a
  <strong>
   Clinical AI Scientist
  </strong>
  with deep expertise in
  <strong>
   Utilization Management (UM)
  </strong>
  to join their Data &amp; AI team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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
 </p>
 <p>
  adjudication, and medical necessity assessments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  &bull; Act as the clinical lead for validating AI solutions deployed in utilization management workflows.
 </p>
 <p>
  &bull; Collaborate with data scientists and engineers to test AI model performance using real-world claims, authorization, and clinical data.
 </p>
 <p>
  &bull; Review and audit model outputs
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <strong>
   Clinical Experience:
  </strong>
 </p>
 <p>
  &bull; RN, MD, or advanced clinical degree (e.g., NP, PA) required.
 </p>
 <p>
  &bull; Minimum 5 years of experience in Utilization Management, Prior Authorization,
 </p>
 <p>
  Case Review, or Medical Necessity Review in a payer or health-tech setting.
 </p>
 <p>
  <strong>
   AI/Data Familiarity:
  </strong>
 </p>
 <p>
  &bull; Basic proficiency with data science tools (e.g., SQL, Python, Excel).
 </p>
 <p>
  &bull; Experience working with or supporting development/testing of AI/ML models is
 </p>
 <p>
  strongly preferred.
 </p>
</div>


Clinical AI Scientist – Utilization Management Focus

<div>
 <p>
  <strong>
   Company Description:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  talabat is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Summary:
  </strong>
 </p>
 <p>
  As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a data scientist on the analysis track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain including logging, data modeling, analysis, reporting, and experimentation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s On Your Plate?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
  </li>
  <li>
   Developing a deep understanding of the product experiences and business processes that make up your area of focus.
  </li>
  <li>
   Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
  </li>
  <li>
   Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
  </li>
  <li>
   Working closely with product and business teams to identify important questions that can be answered effectively with data.
  </li>
  <li>
   Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision making through deep analysis and automated reports.
  </li>
  <li>
   Designing, planning and analyzing experiments (A/B and multivariate tests).
  </li>
  <li>
   Supporting product and business managers with KPI design and goal setting.
  </li>
  <li>
   Mentoring other data scientists in their growth journeys.
  </li>
  <li>
   Contributing to improving our ways of work, our tooling, and our internal training programs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Did We Order?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Experience:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Excellent SQL experience
  </li>
  <li>
   <strong>
    A/B testing, experimentation (randomization, burn-in/out periods, switchback experiments) - mandatory experience
   </strong>
  </li>
  <li>
   Competence with reproducible data analysis using Python or R.
  </li>
  <li>
   Familiarity with data modeling and dimensional design.
  </li>
  <li>
   Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
  </li>
  <li>
   Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
  </li>
  <li>
   Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
  </li>
  <li>
   Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
  </li>
  <li>
   Familiarity with BigQuery and the Google Cloud Platform is a plus.
  </li>
  <li>
   Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
  </li>
  <li>
   Experience with classical ML frameworks (e.g. Scikit-learn, XGBoost, LightGBM, ...) is a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
  </li>
  <li>
   3-5 years of overall experience working in data science and machine learning.
  </li>
  <li>
   Experience doing data science in an online consumer product setting is a plus.
  </li>
  <li>
   A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
  </li>
  <li>
   An excellent collaborator.
  </li>
  <li>
   An excellent communicator.
  </li>
  <li>
   A strong sense of ownership and accountability.
  </li>
  <li>
   A &lsquo;keep it simple&rsquo; approach to #makeithappen.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist

International Center for Biosaline Agriculture

<div><div><p>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.</p></div>
<div><div>Job Summary</div>
<div><p>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.</p></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><p><b><i>Essential:</i></b></p><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><p><b><i>
Desirable:</i></b></p><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>
<br><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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