science

Glenmark Pharmaceuticals

<div>
 
 
 
 Role Overview:
 
 
 
 
 
 
 
 The Medical Science Liaison (MSL) &ndash; Oncology is a field-based medical professional responsible for executing Glenmark&rsquo;s medical affairs strategy in the region assigned for oncology products across their lifecycle, including pipeline and marketed assets.
 
 
 
 
 
 Working in close alignment with Global Medical Affairs and the local cross-functional team, the MSL serves as a scientific expert and trusted partner to oncologists, hematologists, investigators, and other key healthcare stakeholders. The role focuses on high-quality, non-promotional scientific exchange, medical insight generation, and support of evidence generation initiatives, while ensuring full compliance with local regulations, including local regulatory requirements and the Code of Conduct
 
 
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Identifies, maps, and develops scientific relationships with key oncology KOLs, investigators, and cancer centers across regions assigned in alignment with the medical strategy.
 </li>
 <li>
 Conducts high-quality, non-promotional scientific exchange with HCPs, ensuring fair-balanced communication of clinical data, benefits, risks, and appropriate use of Glenmark oncology products.
 </li>
 <li>
 Gathers, analyses, and communicates actionable medical insights from the field to inform local and global medical strategies.
 </li>
 <li>
 Supports planning and execution of medical education initiatives such as advisory boards, medical education programs (MEPs), and focused group discussions.
 </li>
 <li>
 Supports clinical evidence generation activities including investigator-initiated studies, real-world evidence initiatives, and company-sponsored studies in collaboration with Global Medical and Clinical teams.
 </li>
 <li>
 Maintains in-depth knowledge of disease areas, treatment paradigms, competitive landscape, and local treatment guidelines relevant to assigned oncology assets
 </li>
 <li>
 Provides scientific training and medical input to internal stakeholders, including sales and cross-functional teams, ensuring accuracy and compliance.
 </li>
 <li>
 Attends local and regional oncology congresses and scientific meetings to remain current on emerging data and evolving standards of care.
 </li>
 <li>
 Responds to unsolicited medical information requests in a timely, accurate, and compliant manner, in collaboration with Medical Information and PV teams.
 </li>
 <li>
 Ensures all medical activities are conducted in compliance with Glenmark SOPs, health authority regulations, and the local code of conduct
 </li>
 </ul>
 
 
 
 
 
 
 Educational Qualifications:
 
 
 
 
 
 
 
 Advanced degree in Life Sciences or Healthcare (PharmD, M. Pharm, PhD, Msc, MBBS, BDS or equivalent)
 
 
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 
 Minimum 2&ndash;4 years of experience as a Medical Science Liaison, preferably in Oncology. Experience engaging with oncology stakeholders within the country healthcare system is strongly preferred. Familiarity with local regulatory requirements, clinical research processes, and medical affairs operations
 
</div>

Medical Science Liaison

YO IT CONSULTING

<div>This project focuses on the Environmental Science domain, where you will assess agent-generated research reports related to climate data, pollution measurements, resource consumption, species population tables, and weather patterns.
Who We're Hiring 
We are looking for evaluators with a background in Environmental Science, Biology (with an Environmental focus), Ecology, Climate Science, or related fields.
This role is ideal for professionals who have:
<ul><li>2&ndash;3 years of professional experience in Environmental Science, ecological research, sustainability analysis, or related roles
</li><li>Experience working with climate datasets, environmental monitoring systems, or pollution measurement reports
</li><li>Hands-on exposure to analysing resource consumption data (water, energy, land use, etc.)
</li><li>Experience interpreting species population tables, biodiversity data, or ecosystem assessments
</li><li>Familiarity with weather pattern analysis and environmental trend reporting
</li><li>Experience sourcing and validating environmental datasets, tables, and scientific statistics from credible public sources
</li><li>Strong analytical skills and attention to detail
</li><li>Excellent written communication skills
</li><li>Comfort working independently and asynchronously
</li></ul>Educational Background: 
Bachelor&rsquo;s or Master&rsquo;s degree in Environmental Science, Biology, Ecology, Climate Science, Sustainability Studies, or a related field.
Key Responsibilities
<ul><li>Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity
</li><li>Assess the correctness of insights derived from climate data, pollution metrics, and resource consumption reports
</li><li>Verify species population data, environmental tables, and weather-related statistics using reputable public and scientific sources
</li><li>Identify inconsistencies in environmental analysis, ecological reporting, and sustainability assessments
</li><li>Work independently to complete evaluations within deadlines
</li><li>Maintain consistency and precision across all assigned tasks
</li></ul>Role Details
<ul><li>Part-time (20&ndash;40 hours/week) with flexible scheduling
</li><li>Competitive rates: $40&ndash;$60/hour depending on expertise
</li></ul>All qualified applicants are considered without regard to legally protected characteristics, and reasonable accommodations are provided upon request.
Contract and Payment Terms
<ul><li>You will be engaged as an independent contractor.
</li><li>This is a fully remote role that can be completed on your own schedule.
</li><li>Projects can be extended, shortened, or concluded early depending on needs and performance.
</li><li>Payments are made weekly via Stripe or Wise based on services rendered</li></ul></div>

Environmental Science Evaluator Remote

Soum

<div>
 Role: Data Science &amp; Engineering Lead
 
 
 Location: Egypt, Uzbekistan, and Pakistan (Remote)
 
 
 Work Week: Sunday &ndash; Thursday
 
 
 Work Timings: 9:00 AM &ndash; 6:00 PM (Saudi Arabian Time Zone)
 
 
 Overview:
 
 
 We&rsquo;re looking for a hands-on Data Science &amp; Engineering Lead to lead our data strategy and help scale a lean, high-impact team. This role blends leadership, architecture, and deep technical work - from building predictive models to designing the infrastructure that powers real-time decision-making. You&rsquo;ll partner closely with cross-functional teams (Product, Business, Finance, Tech) and take full ownership of analytics delivery from raw data to actionable insight.
 
 
 This is a builder&rsquo;s role - ideal for someone who wants deep ownership, startup pace, and the chance to grow as we scale.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Define and deliver our data strategy - from core infrastructure to insights delivery
 </li>
 <li>
 Build and mentor a team of 2&ndash;5 data scientists and engineers
 </li>
 <li>
 Design and deploy predictive models, recommendation systems, and performance analytics
 </li>
 <li>
 Architect, deploy, and maintain scalable data pipelines and analytics tooling
 </li>
 <li>
 Own and scale robust data pipelines and ensure data integrity across business verticals
 </li>
 <li>
 Collaborate closely with stakeholders across Product, Business Finance, and Tech teams to integrate data into daily operations and product decisions
 </li>
 <li>
 Act as the go-to person for data strategy, experimentation, and insights
 
 
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 5&ndash;6 years of relevant experience in data science, engineering or analytics,
 </li>
 <li>
 At least 1-2 years in a leading or mentoring small teams (leading 2-5 people) within an agile high tech environment
 </li>
 <li>
 Strong command of Python or R; strong SQL skills required
 </li>
 <li>
 Deep expertise in data analysis, predictive modeling, designing scalable pipelines, and maintaining analytics infrastructure
 </li>
 <li>
 Familiarity with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau)
 </li>
 <li>
 Experience working cross functionally with business and product teams
 </li>
 <li>
 Startup mindset; strong bias for action, autonomy and ownership; able to apply agile principles and own delivery end to end
 
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Data Science & Engineering Lead

Egypt Education Platform

<div>Egypt Education Platform is looking for an experienced and passionate MYP/ DP Science - Physics Teacher to join our team at GEMS International School Cairo for next academic year commencing from August 2026. 
Requirements 
The successful applicants will have the following:<ul><li>
A passion for providing outstanding teaching and driven to provide education at an exceptional level. Teachers enjoy an outstanding school environment in which to deliver a dynamic and creative curriculum to motivated students. 
</li><li>
Bachelor's degree in relevant field. 
</li><li>
Teachers are expected to have a current license/certification in their home country with a minimum of 3 years full-time teaching experience.</li></ul><ul><li>
Teaching certificate.</li></ul><ul><li>
MYP/ DP training is preferred 
</li><li>
MYP/ DP experience is preferred. 
</li><li>
Aspiration to work in a world class school with real prospects for enhancing their career.</li></ul>
The safeguarding of our students is at the core of all that we do. all appointments are conditional on:<ul><li>
Acceptable police checks (or equivalent) from the country of origin and from all counties in which you have worked. 
</li><li>
Appropriate references from your current and previous employer, corroborated by personal phone calls made to each.</li></ul></div>

MYP/ DP Science - Physics Teacher - August 2026

Finaira

<div>
 
 The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 
 
 
 
 
 
 
 
 
 The difference you will make
 
 
 <ul>
 <li>
 Define the technical data science strategy and roadmap.
 </li>
 <li>
 Lead the research and development of cutting-edge AI solutions.
 </li>
 <li>
 Evaluate and implement new data science technologies and platforms.
 </li>
 <li>
 Provide technical leadership and guidance to the data science team.
 </li>
 <li>
 Ensure the scalability and reliability of data science infrastructure.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact
 </li>
 <li>
 Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges
 </li>
 <li>
 Proven experience in leading and mentoring data science teams
 </li>
 <li>
 A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
 </li>
 <li>
 Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
 </li>
 <li>
 Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
 </li>
 <li>
 Deep understanding of Data and AI governance frameworks and requirements.
 </li>
 <li>
 Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
 </li>
 <li>
 Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
 </li>
 <li>
 Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
 </li>
 <li>
 Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
 </li>
 <li>
 Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
 </li>
 <li>
 Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 .
 
</div>

Principal Data Scientist

<div>The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
The difference you will make:<ul><li>
Define the technical data science strategy and roadmap.</li><li>
Lead the research and development of cutting-edge AI solutions.</li><li>
Evaluate and implement new data science technologies and platforms.</li><li>
Provide technical leadership and guidance to the data science team.</li><li>
Ensure the scalability and reliability of data science infrastructure.</li></ul> 

Requirements 
Education:
<ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.</li></ul>
Experience:<ul><li>
8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.</li><li>
Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
</li><li>Proven experience in leading and mentoring data science teams.
</li><li>A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)</li></ul>
Technical Skills:
<ul><li>Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.</li><li>
Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.</li><li>
Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.</li><li>
Deep understanding of Data and AI governance frameworks and requirements.
</li><li>Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
</li><li>Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.</li><li>
Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
</li><li>Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
</li><li>Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
</li><li>Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.</li></ul>
Soft Skills:<ul><li>
Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently, collaborate effectively and mentor junior team members.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

<div>This project focuses on the Manager Environmental Health &amp; Safety domain, where you will assess agent-generated research reports related to climate data, pollution measurements, resource consumption, species population tables, and weather patterns.
Who We're Hiring 
We are looking for evaluators with a background in Environmental Science, Biology (with an Environmental focus), Ecology, Climate Science, or related fields.
This role is ideal for professionals who have:
<ul><li>2&ndash;3 years of professional experience in Environmental Science, ecological research, sustainability analysis, or related roles
</li><li>Experience working with climate datasets, environmental monitoring systems, or pollution measurement reports
</li><li>Hands-on exposure to analysing resource consumption data (water, energy, land use, etc.)
</li><li>Experience interpreting species population tables, biodiversity data, or ecosystem assessments
</li><li>Familiarity with weather pattern analysis and environmental trend reporting
</li><li>Experience sourcing and validating environmental datasets, tables, and scientific statistics from credible public sources
</li><li>Strong analytical skills and attention to detail
</li><li>Excellent written communication skills
</li><li>Comfort working independently and asynchronously
</li></ul>Educational Background: 
Bachelor&rsquo;s or Master&rsquo;s degree in Environmental Science, Biology, Ecology, Climate Science, Sustainability Studies, or a related field.
Key Responsibilities
<ul><li>Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity
</li><li>Assess the correctness of insights derived from climate data, pollution metrics, and resource consumption reports
</li><li>Verify species population data, environmental tables, and weather-related statistics using reputable public and scientific sources
</li><li>Identify inconsistencies in environmental analysis, ecological reporting, and sustainability assessments
</li><li>Work independently to complete evaluations within deadlines
</li><li>Maintain consistency and precision across all assigned tasks
</li></ul>Role Details
<ul><li>Part-time (20&ndash;40 hours/week) with flexible scheduling
</li><li>Competitive rates: $40&ndash;$60/hour depending on expertise
</li></ul>All qualified applicants are considered without regard to legally protected characteristics, and reasonable accommodations are provided upon request.
Contract and Payment Terms
<ul><li>You will be engaged as an independent contractor.
</li><li>This is a fully remote role that can be completed on your own schedule.
</li><li>Projects can be extended, shortened, or concluded early depending on needs and performance.
</li><li>Payments are made weekly via Stripe or Wise based on services rendered</li></ul></div>

Manager Environmental Health & Safety Remote

Explore 327+ Science in Egypt this April. Find roles across top companies and apply now to boost your career.

327 science jobs In Egypt

Medical Science Liaison

Environmental Science Evaluator Remote

Data Science & Engineering Lead

MYP/ DP Science - Physics Teacher - August 2026

Principal Data Scientist

Principal Data Scientist

Manager Environmental Health & Safety Remote