construction accountant (mid/senior level)

business analyst

data scientist lead

senior data scientist

bioinformatics scientist

Marc

<div>MARC for Medical Services and Scientific Research is an integrative research center that aims to advance science by conducting research in interdisciplinary disease areas. Our goal is to conduct high-priority and ethical basic, preclinical and clinical research, bridging the gap between science and community to improve health and quality of life.
MARC is looking to have an experienced candidate for Bioinformatics Scientist
<ul><li>Key responsibilities:</li></ul><ul>
<li>Lead research projects and experiments.</li>
<li>Supervise and mentor the lab team (senior and junior researchers).</li>
<li>Manage project timelines, resources, and budgets.</li>
<li>Ensure safety and compliance in the lab.</li>
<li>Present research results and findings</li>
</ul>
Requirements<ul>
<li>
PhD in bioinformatics, computational biology, or any biomedical field related to genomics (e.g., pharmacogenomics, biotechnology, health informatics)</li>
<li>0-2 years after PhD in the specialty</li>
<li>Fulfill one of the following: 
<ul><li>Publication record (H-index 3), with at least one first-authored paper</li><li>Assistance in a grant</li></ul></li></ul></div>

Bioinformatics Scientist

EVA Pharma

<div>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.
Job Summary 
We are seeking a passionate and talented Data Scientist Lead to join our dynamic team.
The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.
Key Responsibilities:
<ul><li>Lead, coach, and mentor junior and mid-level data scientists through regular feedback, code reviews, and technical guidance.
</li><li>Define and enforce technical standards and best practices across modeling, experimentation, documentation, and deployment.
</li><li>Own the end-to-end data science lifecycle, from problem framing and data exploration to modeling, validation, and production deployment.
</li><li>Design and deliver machine learning and predictive models aligned with business priorities, while partnering with product, engineering, and business stakeholders.
</li><li>Review and approve modeling approaches and performance metrics, translate insights for non-technical audiences, support team growth, and drive adoption of emerging AI/ML techniques.</li></ul>
Requirements<ul><li>
7+ years of experience in Data Science and Machine Learning, with proven team leadership and mentoring experience.
</li><li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and hands-on experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, and LightGBM.
</li><li>Solid foundation in statistics, experimentation design, and model evaluation techniques.
</li><li>Proven experience deploying and maintaining machine learning models in production environments.
</li><li>Excellent communication, leadership, and stakeholder management skills.</li></ul></div>

Data Scientist Lead

Seoudi Supermarket

<div>
 We are seeking a highly skilled
 
 Senior Data Scientist to
 
 extract valuable insights from complex datasets and drive data-informed decision-making across the organization. The role involves managing the entire data lifecycle from data cleaning and preprocessing, exploratory analysis, statistical modeling, and predictive analytics to building dashboards and scalable data pipelines.
 
 The ideal candidate will leverage advanced statistical techniques, machine learning algorithms, and forecasting models to solve business problems and uncover actionable insights. They will work closely with cross-functional teams, transforming raw data into meaningful visualizations and recommendations for both technical and non-technical stakeholders. Strong coding practices, SQL proficiency, and experience with business intelligence tools are essential to ensure high-quality, efficient, and reproducible analytics workflows.
 
 
 RESPONSIBILITIES
 
 <ul>
 <li>
 ]Data Cleaning and Preprocessing: Perform thorough data cleaning, validation, and preprocessing to ensure the accuracy and reliability of the data used in analysis.&nbsp;Identify&nbsp;and handle missing data, outliers, and inconsistencies,&nbsp;maintaining&nbsp;data integrity throughout the pipeline.&nbsp;
 </li>
 <li>
 ]Exploratory Data Analysis (EDA): Conduct comprehensive EDA to uncover patterns, trends, and correlations within the data. Apply statistical techniques and data visualization to communicate findings effectively.&nbsp;
 </li>
 <li>
 ]Advanced Statistical Analysis: Perform advanced statistical analysis, including statistical testing and measuring statistical feature associations. Apply a wide range of statistical techniques to&nbsp;identify&nbsp;significant relationships, assess the impact of variables, and measure the strength of associations.&nbsp;
 </li>
 <li>
 ]Modeling and Algorithm Development: Design and implement machine learning algorithms and statistical models to solve business problems and extract valuable insights from complex datasets. Collaborate with cross-functional teams to develop predictive models, optimize algorithms, and improve existing methodologies.&nbsp;
 </li>
 <li>
 ]Building Forecasting Models:&nbsp;Utilize&nbsp;machine learning and deep learning techniques to develop&nbsp;accurate&nbsp;and reliable forecasting models. Apply time series analysis, regression, and other forecasting methodologies to predict future trends, demand, and outcomes.&nbsp;
 </li>
 <li>
 ]Data Engineering: Develop and&nbsp;maintain&nbsp;scalable data pipelines, integrating and transforming data from various sources. Utilize data engineering techniques to streamline data acquisition, storage, and processing, ensuring efficient data flow across the organization.&nbsp;
 </li>
 <li>
 ]Writing Optimized SQL Queries: Write efficient and optimized SQL queries for data analysis and retrieval. Utilize advanced SQL techniques to extract and manipulate data from relational databases, ensuring&nbsp;optimal&nbsp;performance and scalability.&nbsp;
 </li>
 <li>
 ]Building Custom Live/Near Live Dashboards: Design and develop custom live/near live dashboards with complex functionality that integrate various data sources. Utilize business intelligence tools such as Tableau or Power BI to create interactive and visually appealing dashboards that enable real-time monitoring and analysis of key performance indicators.&nbsp;
 </li>
 <li>
 ]Writing High-Quality and Organized Code: Ensure that code written for data cleaning, analysis, modeling, and engineering is of high quality, well-documented, and follows best practices. Write clean, efficient, and modular code that is easy to understand and&nbsp;maintain.&nbsp;
 </li>
 <li>
 ]Communication and Visualization: Clearly communicate complex findings, methodologies, and insights to both technical and non-technical stakeholders. Visualize data and present results through compelling visualizations, dashboards, and reports.&nbsp;
 
 
 
 </li>
 </ul>
 
 REQUIREMENTS
 
 <ul>
 <li>
 ]Bachelor's or master's&nbsp;degree in computer science, Statistics, Mathematics, or&nbsp;a related&nbsp;field.&nbsp;
 </li>
 <li>
 ]Strong programming skills in Python and R.&nbsp;Proficiency&nbsp;in SQL is&nbsp;required.&nbsp;
 </li>
 <li>
 ]Minimum of 3 years of experience in data science or&nbsp;a related&nbsp;field.&nbsp;
 </li>
 <li>
 ]Solid understanding of statistical analysis, machine learning, and data mining techniques.&nbsp;
 </li>
 <li>
 ]Experience with data cleaning, preprocessing, and exploratory data analysis.&nbsp;
 </li>
 <li>
 ]Proficiency&nbsp;in&nbsp;utilizing&nbsp;data science libraries and frameworks (e.g., Pandas, NumPy, scikit-learn, TensorFlow, Py Torch).&nbsp;
 </li>
 <li>
 ]Experience building forecasting models using machine learning and deep learning techniques.&nbsp;
 </li>
 <li>
 ]Ability to perform advanced statistical analysis, including statistical testing and measuring statistical feature associations.&nbsp;
 </li>
 <li>
 ]Proficiency&nbsp;in business intelligence tools such as Tableau or Power BI, with the ability to build custom live/near live dashboards with complex functionality.&nbsp;
 </li>
 <li>
 ]Ability to write optimized SQL queries for data analysis and data retrieval.&nbsp;
 
 
 </li>
 </ul>
</div>

Senior Data Scientist

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3 bioinformatics scientist jobs In Giza

Bioinformatics Scientist

Data Scientist Lead

Senior Data Scientist