وظائف لخريجي كلية العلوم في مصر

<h3>Role Overview</h3><p>We are seeking a dedicated and pedagogical expert to join our academic team as a Science Teacher. The ideal candidate is passionate about fostering curiosity and critical thinking in students, delivering high-quality instruction that aligns with international educational standards. You will be responsible for translating complex scientific concepts into engaging, accessible lessons that inspire the next generation of researchers and innovators.</p><h3>Key Responsibilities</h3><ul><li>Design and implement comprehensive lesson plans that meet curricular objectives and student learning outcomes.</li><li>Utilize innovative teaching methodologies, including inquiry-based learning and digital instructional tools, to enhance classroom engagement.</li><li>Assess student performance through formative and summative evaluations, providing constructive feedback to support academic growth.</li><li>Maintain a safe, inclusive, and stimulating learning environment that encourages participation and inquiry.</li><li>Collaborate with faculty members to integrate cross-disciplinary projects and improve overall school academic standards.</li><li>Communicate effectively with parents and guardians regarding student progress and behavioral development.</li></ul><h3>Qualifications and Requirements</h3><ul><li>A Master’s degree in a relevant scientific field (Biology, Chemistry, Physics, or General Science).</li><li>Demonstrated experience in a classroom setting, showcasing a strong understanding of pedagogical strategies.</li><li>Professional fluency in English; candidates must possess excellent verbal and written communication skills.</li><li>Commitment to continuous professional development and keeping abreast of advancements in science education.</li><li>Strong organizational skills with the ability to manage time effectively in a part-time capacity.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in modern educational technology and Learning Management Systems (LMS).</li><li>Strong analytical and problem-solving capabilities.</li><li>Adaptability to diverse learning styles and classroom dynamics.</li><li>Ability to foster a culture of academic integrity and scientific curiosity.</li></ul><h3>Benefits and Perks</h3><ul><li>Competitive remuneration package commensurate with qualifications and expertise.</li><li>Opportunities for professional development and training workshops.</li><li>A supportive, collaborative work culture within a prestigious educational institution.</li><li>Access to modern laboratories and teaching resources.</li></ul>

Company Description EKSON Technology transforms enterprise training using advanced Extended Reality (XR) and motion simulation solutions. The company supports organizations across Oil & Gas, Aviation, Healthcare, Manufacturing, and Government sectors with immersive, safe, and highly engaging learning experiences. EKSON’s solutions are designed to improve workforce performance, reduce operational risk, and deliver measurable business outcomes. Prospective team members will join a forward-looking organization that blends technology, education, and industry expertise to redefine how organizations train and learn.<br>Role Description Science & Math Educational Consultants at EKSON Technology design, adapt, and deliver science and mathematics learning content that leverages XR and motion simulation tools. In this full-time, on-site role based in Qesm El Moqatam, the consultant collaborates with internal teams and client stakeholders to assess training needs, develop curricula, and align content with educational standards and organizational objectives. Daily responsibilities include conducting consultations with clients, translating complex scientific and mathematical concepts into accessible learning modules, and providing feedback on instructional design and learner engagement strategies. The consultant also supports implementation and evaluation of training programs, offers ongoing guidance to educators and trainers, and contributes to continuous improvement of EKSON’s educational offerings.<br>Qualifications<br> Strong background in Education and Educational Consulting, with the ability to design and evaluate science and math learning programs. Experience in Consulting and Customer Service, including needs assessment, client-facing communication, and relationship management. Excellent Communication skills, both written and verbal, for explaining complex concepts clearly to diverse audiences. Relevant academic qualification in Mathematics, Science, Education, or a related field; advanced degrees are an advantage. Familiarity with technology-enhanced learning, XR or simulation-based training, and modern instructional design principles. Ability to work on-site in Qesm El Moqatam, collaborate effectively in multidisciplinary teams, and manage multiple projects and deadlines. Demonstrated analytical and problem-solving skills, with a focus on learner outcomes and measurable training impact.

Company Description PAN ARAB Commercial and Technical Consultancy Company (PACT Egypt) has supplied quality test equipment to industrial and laboratory customers since 1980. The company offers a broad range of testing machines used for quality control, production, and research, helping clients evaluate the physical and mechanical properties of materials, components, and finished products. PACT focuses on cost-effective solutions and is committed to driving change, growth, and development for its customers through reliable products and dedicated service. For over 45 years, it has been a leading supplier and distributor of testing equipment for paper, rubber, leather, plastic, textile, paint, and universal testing machines across Egypt. PACT collaborates with reputable international manufacturers such as Tinius Olsen/Hounsfield, Sheen Instruments, RK Instruments, Reprotest IGT, RDM Test Equipment, TMI Group, and Q-Panel to deliver high-specification products and dependable support. Role Description The Science Technical Sales role at PACT Egypt is a full-time, on-site position based in Giza. The role involves identifying and engaging potential industrial and laboratory customers, presenting technical features and benefits of testing equipment, and recommending suitable solutions based on client applications and specifications. Daily responsibilities include preparing quotations and proposals, conducting product demonstrations, coordinating with suppliers and internal technical teams, and following up on leads to close sales. The role also includes maintaining ongoing relationships with existing customers, providing post-sale support, gathering market and competitor information, and contributing to sales forecasts and reporting. Qualifications Technical knowledge and experience in scientific or engineering fields, preferably related to materials testing, quality control, or laboratory equipment. Strong sales and negotiation skills, with the ability to identify customer needs, present solutions, and close deals. Effective communication and presentation skills to explain technical concepts clearly to diverse stakeholders. Ability to build and maintain long-term customer relationships and provide responsive service and support. Good organizational and time-management skills, including handling multiple opportunities and meeting deadlines. Proficiency in basic office and CRM software to prepare offers, manage customer data, and produce sales reports. Bachelor’s degree in science, engineering, or a related technical discipline is preferred. Previous experience in technical sales or business development in industrial or laboratory markets is an advantage. Fluency in English and Arabic, with strong written and verbal communication skills.

<div Segoe UI";"><h1 ><div Segoe UI"; text-align: start; color: rgb(0, 0, 0); font-style: normal; letter-spacing: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;"><p ><span >Role Purpose</span></p></div></h1><h1 ><div Segoe UI"; font-weight: 400; text-align: start; color: rgb(0, 0, 0); font-style: normal; letter-spacing: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;"><p><font size="3">The Key Account Manager, Life Sciences & Healthcare is responsible for driving profitable revenue growth, developing strategic customer relationships, and securing new business opportunities within the Life Sciences, Healthcare, and Medical Devices sector. The role will identify, develop, and convert high-potential opportunities while delivering a best-in-class customer experience and strengthening DHL's market position.</font></p></div></h1><h2><font size="3">Key Responsibilities:</font></h2><h1 ><div Segoe UI"; font-weight: 400; text-align: start; color: rgb(0, 0, 0); font-style: normal; letter-spacing: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;"><ul><li><font size="3">Drive profitable growth within the Life Sciences, Healthcare, and Medical Devices sector.</font></li><li><font size="3">Identify, qualify, and convert new business opportunities.</font></li><li><font size="3">Manage and develop a portfolio of key and strategic customers.</font></li><li><font size="3">Build strong relationships with decision-makers across customer organizations.</font></li><li><font size="3">Conduct regular business reviews and identify growth opportunities.</font></li><li><font size="3">Develop customer-focused logistics solutions in collaboration with internal stakeholders.</font></li><li><font size="3">Coordinate with relevant DHL business units to deliver integrated customer solutions.</font></li><li><font size="3">Monitor market trends, competitor activity, and emerging opportunities within the sector.</font></li><li><font size="3">Manage and maintain an accurate sales pipeline and customer portfolio.</font></li><li><font size="3">Ensure prompt resolution of customer issues and maintain exceptional service levels.</font></li></ul></div></h1><h2><font size="3">Qualifications, Experience and Competencies</font></h2><h1 ><div ><ul ><li><font size="3">University Graduate, preferably in Business Administration, Logistics, Supply Chain, Engineering, Pharmacy, Science, or a related field.</font></li><li><font size="3">Minimum 3-4 years of experience in B2B sales, business development, or key account management.</font></li><li><font size="3">Proven track record of achieving sales targets and developing profitable customer relationships.</font></li><li><font size="3">Experience within Logistics, Express, Freight Forwarding, Life Sciences, Healthcare, Medical Devices, or a related sector is preferred.</font></li><li><font size="3">Strong consultative selling, negotiation, and account management skills.</font></li><li><font size="3">Excellent communication, presentation, and stakeholder management abilities.</font></li><li><font size="3">Strong analytical and commercial acumen.</font></li><li><font size="3">Ability to identify customer needs and develop value-added solutions.</font></li><li><font size="3">Experience using CRM and sales pipeline management tools.</font></li><li><font size="3">Professional proficiency in English and Arabic.</font></li><li><font size="3">Customer-focused, results-driven, and able to work effectively under pressure.</font></li></ul><p ><font size="3">We are committed to fostering equal opportunity and strictly reject all forms of discrimination. At DHL Group, employee selection is based exclusively on individual qualification, performance, skills, and professional experience.</font></p><p ><font size="3">✨ We ???????????????????????????? ???????????? ????????????????????????????????????????</font></p><p ><font size="3">✨ We ????????????????</font></p><p ><font size="3">✨ We ???????????????? ????????????????????????????????</font></p></div></h1></div>

Position: STEM: Material Science Expert Type: Short-Term Contract (15-20 hours) Compensation: $30 per hour Location: Remote Commitment: At least 8 hours per day with 4 hours overlap with PST<br>Role Responsibilities Review and evaluate AI-generated material science tasks. Assess scientific accuracy and reasoning quality. Identify errors and provide constructive feedback. Annotate and evaluate AI-generated outputs. Support AI research by applying Material Science expertise.<br>Requirements Master's/PhD in Material Science, Material Engineering, or a related field, OR 4+ years of professional experience. Strong analytical and research skills. Ability to provide detailed feedback and annotations. Excellent communication skills and ability to work independently. Ability to start immediately. Availability for 15 20 hours with 4 hours overlap with PST. Access to a desktop/laptop with a reliable internet connection. Linked In profile is mandatory in the resume.<br>Application Process Apply/Easy Apply and check email for application form Fill Google form Delivey Review Shortlisitng<br><br>Skills: material science

Position: STEM: Material Science Expert Type: Short-Term Contract (15-20 hours) Compensation: $30 per hour Location: Remote Commitment: At least 8 hours per day with 4 hours overlap with PST<br>Role Responsibilities Review and evaluate AI-generated material science tasks. Assess scientific accuracy and reasoning quality. Identify errors and provide constructive feedback. Annotate and evaluate AI-generated outputs. Support AI research by applying Material Science expertise.<br>Requirements Master's/PhD in Material Science, Material Engineering, or a related field, OR 4+ years of professional experience. Strong analytical and research skills. Ability to provide detailed feedback and annotations. Excellent communication skills and ability to work independently. Ability to start immediately. Availability for 15 20 hours with 4 hours overlap with PST. Access to a desktop/laptop with a reliable internet connection. Linked In profile is mandatory in the resume.<br>Application Process Apply/Easy Apply and check email for application form Fill Google form Delivey Review Shortlisitng<br><br>Skills: material science

Company Description Ain Shams University, founded in July 1950 as Ibrahim Pasha University, is the third established university in Egypt. It has played a key role alongside Cairo University and Alexandria University in expanding access to higher education for a growing youth population. Over time, Ain Shams University has developed a strong network of distinguished faculties and academic institutes. The university is recognized for its commitment to academic excellence, research, and the preparation of future professionals across multiple disciplines. Computer science students benefit from a vibrant academic environment and opportunities for practical learning.<br>Role Description A Computer Science Student at Ain Shams University engages in full-time, on-site study and academic work at the Cairo campus. Day-to-day activities include attending lectures and labs, completing programming assignments, participating in group projects, and conducting research under faculty guidance. Students are expected to engage actively in class discussions, collaborate with peers, and apply analytical thinking to solve computing problems. The role also involves staying up to date with emerging technologies, preparing for exams, and participating in academic events or workshops related to computer science.<br>Qualifications<br> <br>Foundational knowledge in Computer Science, including core concepts, data structures, and algorithms. Programming skills in one or more languages (such as Python, Java, C++, or similar) and the ability to write clean, efficient code. Strong Analytical Skills and problem-solving abilities for tackling theoretical and practical computing challenges. Effective Communication skills, including the ability to collaborate with peers and present technical ideas clearly. Research skills, with the capacity to gather information, review academic literature, and contribute to projects under supervision. Commitment to full-time study and readiness to work in an on-site, campus-based environment in Cairo. Basic familiarity with mathematics relevant to computer science (such as discrete mathematics and logic) is beneficial. Demonstrated motivation to learn, adapt to new technologies, and participate in academic and extracurricular activities.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent.AI Lab Residency | Cairo, Egypt | 12 months About the program The Data Resident will participate in Finaira’s 12-month Talent.<br>AI Lab Residency, contributing to real-world data science and AI initiatives under the guidance of experienced engineers and mentors.<br> The role provides handson exposure to the full data and forecasting lifecycle, including data quality, feature engineering, statistical analysis, machine learning, forecasting, and behavioral segmentation.<br> Residents will conduct practical research, test new approaches, and deliver meaningful contributions through two structured rotations.<br> How you'll shape your future Work the full forecasting lifecycle on a live Finaira system: data quality, classical and deep-learning models, classification reformulation, and behavioral segmentation Run R&amp;D on open problems in the domain: benchmark newer forecasting methods honestly against established baselines and establish where they win Read current literature and turn promising ideas into tested experiments rather than summaries Complete two rotations of five to six months, each ending in a shipped contribution and a proof-ofconcept Work with a discipline mentor for each rotation, reviewed at fixed checkpoints.<br> Your two-track pairing is assigned at the end of a five-week onboarding phase, based on cohort balance and observed strengths.<br> Your starting foundation Solid Python: you have written code someone else could run Statistics, probability, and applied machine learning at working depth Data wrangling and feature work on real, messy data Comfort designing an experiment and evaluating it honestly You read technical papers without handholding Version control and reproducible code as a habit Strong signals, none required: time series work, clustering or segmentation on a real dataset, a thesis or reading group, exposure to LLM tooling.<br> What we are looking for A senior student graduating in 2027 , or a graduate within one year of graduation Major: Computer Science, Computer Engineering, AI, Data Science, Communication and Networks Engineering, Business Informatics, or Actuarial Science Professional English: you will read papers and write technical documentation Commitment: Available for the full twelve months, starting October 2026 Undergraduates: flexible hours around your timetable, minimum one on-site day per week.<br> Graduates: full-time on site with one remote day accommodated, on site throughout the first six months What you will get A dedicated mentor, and a portfolio of real contributions.<br> An optional track supports you toward publishing your research.<br> Residents who clear the bar at the final review move into defined graduation pathways.<br> Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment.<br> All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any status protected by the laws or regulations in the locations where we operate.<br></span> </div>

DE<br><br>Science Researtcher<br><br>Delta University- Department of Physics<br><br>Cairo, Egypt Posted Aug 11, 2026<br><br>Full-timeOn-site<br><br>CV required Cover letter required 2 screening questions<br><br><strong>About The Role<br><br></strong>Job Overview<br><br>Researcher<br><br>What You'll Do<br><br><strong>Responsibilities<br><br></strong>10 years experience<br><br>Position Details<br><br>Location<br><br>Cairo, Egypt<br><br>Workplace<br><br>On-site<br><br>Type<br><br>Full-time<br><br><strong>Experience<br><br></strong>7 - 10 Years<br><br>Languages<br><br>Arabic;English

Fresh Graduates are Welcome. <br>Client Experience Agent:<br>The Mission: Enhance customer satisfaction by managing the seamless "client journey" from inquiry to inventory. Key Tasks: Customer engagement, problem-solving, inventory management, data entry, and active sales of products/services. Ideal for: Multi-taskers who enjoy a mix of administration, sales, and proactive client relationship building.<br>What We’re Looking For:<br>Education: Bachelor’s degree in Pharmacy, Biotechnology, or an equivalent medical background. Experience: 0–2 years (Entry-level candidates are highly encouraged!). Skills: Strong English proficiency, excellent communication, and a problem-solving mindset.<br>Send your CV if you're interested : Haidy.abdelhakim@groovymedspa.com

<p><strong>Role Overview:</strong></p><p>We are seeking Computational Life Sciences experts with strong scientific programming skills to develop complex, realistic tasks for Agentic Life Sciences. You will design tasks where AI agents must independently navigate scientific data, write and execute code, use computational tools, troubleshoot intermediate results, and produce scientifically valid final outputs. The goal is to evaluate whether AI systems can perform authentic multi-step scientific work — not simply answer scientific questions.</p><p><br></p><p><strong>Environment:</strong></p><p>Tasks are executed in controlled computational environments and should be self-contained and reproducible.</p><p>Depending on the scientific workflow, tasks may use Python, command-line tools, scientific libraries, or domain-specific software. Experts should design tasks whose required dependencies, data, and computational resources can be reliably packaged and evaluated in the project environment.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design challenging, realistic agentic scientific workflows across the life sciences.</li><li>Create tasks requiring multiple computational steps rather than single-script or simple question-answer solutions.</li><li>Develop realistic input files, scientific datasets, instructions, constraints, and expected deliverables.</li><li>Build tasks requiring agents to inspect data, select appropriate methods, execute analyses, troubleshoot problems, and synthesize results.</li><li>Create reproducible expert solutions and objectively verifiable ground truths that run in the sandbox described above.</li><li>Design robust automated or semi-automated grading criteria.</li><li>Ensure tasks measure scientific reasoning and execution rather than memorization.</li><li>Validate scientific assumptions, calculations, code, intermediate outputs, and final answers.</li><li>Ensure tasks are self-contained and executable in controlled, network-isolated computational environments.</li><li>Maintain high quality and throughput while responding effectively to reviewer feedback.</li></ul><p><br></p><p><strong>Qualifications Required:</strong></p><ul><li>Ph.D., postdoctoral, or equivalent research experience in the life sciences, with strong demonstrated computational and scientific-programming experience.</li><li>Strong scientific programming experience, particularly in Python.</li><li>Experience performing multi-step computational scientific analyses.</li><li>Ability to independently validate both scientific reasoning and computational outputs.</li></ul><p><br></p><p><strong>Preferred:</strong></p><ul><li>Expertise in one or more areas including bioinformatics, computational genomics, systems biology,computational neuroscience, biostatistics, computational drug discovery, computational biochemistry,structural biology, protein engineering, or computational microbiology.</li><li>Experience with scientific libraries and command-line tools.</li><li>Experience creating reproducible research pipelines.</li><li>Ability to translate authentic research workflows into bounded, objectively gradable tasks.</li></ul><p><br></p><p><strong>Bonus Points For:</strong></p><ul><li>Experience with AI agents, coding agents, or scientific AI systems.</li><li>Experience building automated evaluation environments.</li><li>Familiarity with Docker/Linux environments.</li><li>Publications involving computational or data-intensive life sciences research.</li></ul>

CACTUS provides language editing services to help researchers in their quest for publication. We’re currently hiring <strong>Reviewers</strong> on a full-time work-from-home basis.<br><br>As a <strong>Reviewer,</strong> you will combine your language skills and subject-area expertise to help researchers around the globe publish cutting-edge research in prestigious journals.<br><br><strong>What you will do:<br><br></strong><ul><li>Perform quality assurance checks on edited manuscripts to ensure that they meet the standards of international publications</li><li>Provide timely feedback to our editors</li><li>Manage deadlines and ensure high quality standards<br><br><br></li></ul><strong>Why this is a great opportunity:<br><br></strong><ul><li>Receive a predictable volume of work each month</li><li>You will have unlimited access to exclusive interviews with industry experts, articles on the latest industry trends, and publication and writing tips on our learning and discussion platform.</li><li>Get an inside view of research carried out worldwide<br><br><br></li></ul><strong>What you need:<br><br></strong><ul><li>PhD/Master’s/Bachelor’s degree in the required subject area</li><li>Excellent English proficiency and attention to detail<br><br><br></li></ul><strong>Additional information:<br><br></strong><ul><li>If you have any questions, we encourage you to explore our FAQs at https://bit.ly/Editorial_FAQs [please copy and paste into browser] to find the information you are looking for.</li><li>If you were associated with us in a similar role in the past, please contact us at editor@cactusglobal.com before you apply/register.</li></ul>

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.<br><br>Role Overview<br><br>We are looking for experienced Life Sciences researchers and subject-matter experts to create advanced scientific reasoning tasks for an AI evaluation benchmark focused on biology and related disciplines.<br><br>This is a non-coding research role. The work centers on designing rigorous, self-contained scientific problems based on realistic experiments, biological data, figures, sequences, structures, literature-style evidence, and research scenarios. The goal is to create tasks that test whether AI systems can genuinely interpret evidence, reason scientifically, and synthesize information, rather than simply recall facts.<br><br>Relevant backgrounds include Molecular Biology, Genetics & Genomics, Cell Biology, Biochemistry, Neuroscience, Microbiology, Immunology, Evolutionary Biology, Ecology, Structural Biology, Biophysics, Developmental Biology, Cancer Biology, Pharmacology, and related fields.<br><br>CONTRACT: Contractor assignment, 6 weeks<br><br>COMMITMENT: Hourly, up to 40h/week<br><br>LOCATIONS: Remote - Argentina, Bangladesh, Brazil, Colombia, Egypt, Nigeria , Ghana, India, Indonesia, Turkey, Vietnam, Kenya, Pakistan, Chile, Peru, Sri Lanka, Saudi Arabia, Nepal, Mexico<br><br>PROCESS: Application form -> 60 min online test (analyzing biochemical measurements and distinguishing among mechanistic defects in enzyme variants)<br><br>Key Responsibilities<br><br>Design challenging life-sciences reasoning problems for AI evaluation. Create tasks based on realistic experiments, biological datasets, figures, sequences, structures, and scientific evidence. Write questions with clear, objectively defensible answers. Develop rigorous expert reference answers explaining the required scientific reasoning. Ensure tasks test interpretation and synthesis, not simple factual recall. Validate biological claims, calculations, assumptions, and conclusions. Identify ambiguity, alternative valid interpretations, and poorly constrained questions. Build tasks that meaningfully differentiate advanced AI models based on scientific reasoning ability. Incorporate reviewer feedback while maintaining high quality and throughput. Document tasks clearly and reproducibly where applicable<br><br>Requirements<br><br>PhD, postdoctoral experience, or equivalent advanced research experience in the Life Sciences. Deep expertise in at least one biological discipline. Strong ability to interpret scientific experiments, data, and research findings. Strong understanding of experimental design and scientific reasoning

A Water and Wastewater Treatment Supervisor is required for hiring to join the AJE Group Egypt team in 6th of October City. They will be responsible for supervising the operations of water treatment plants, industrial wastewater treatment plants, boiler systems, monitoring operational efficiency, ensuring compliance with environmental requirements, conducting laboratory analyses, performing preventive maintenance, and supervising the operations team. Requirements: • Bachelor of Science in Chemistry or a related science discipline related to drinking water treatment, water plants, and industrial wastewater plant operation. • Minimum of 5 years of experience in water treatment, industrial wastewater, and water plants. • Previous experience in beverage factories or food industries and water plants is preferred. • Good knowledge of water analysis, laboratory procedures, safety standards, and environmental requirements. • Residents of Cairo or Giza are preferred, especially near 6th of October City. <p><strong>Additional Details</strong></p><ul><li>Number of Vacancies: 3</li><li>Shift System: Morning only</li><li>Benefits: Health insurance, social insurance, transportation allowance, meals, overtime</li></ul>