Biomedical Scientist Jobs in Qatar

• 5 - 10 Years
• Doha , Wakra , Al Khor - Qatar

Nair Systems is currently looking for Data Scientist for our Qatar operations with the following terms & conditions. Core Responsibilities: Design, build, and optimize predictiv...

• 3 - 8 Years
• Qatar - Qatar

Design and implement advanced analytics solutions using Python, R, SQL, and Power BI for financial services.

• 12 - 25 Years
• India - Qatar

Lead a high-performing Data and AI Center of Excellence, driving solution design, delivery, and innovation while managing technical teams and engaging with stakeholders.

• 5 - 10 Years
• Doha - Qatar

Collaborate with stakeholders to define product roadmaps, validate AI features, ensure compliance, and enhance user experience in government IT projects.

• 15 - 20 Years
• Doha - Qatar

Develop and implement research plans, lead teams, manage budgets, ensure compliance, and secure funding for neurological disorder research.

• 0 - 3 Years
• Doha - Qatar

The role involves conducting research in Islamic Bioethics, participating in international dialogues, and contributing to academic activities while holding a Ph.D. in a related ...

• 0 - 5 Years
• Doha - Qatar

Conduct comprehensive data analysis, develop bioinformatics pipelines, and publish findings; requires PhD in Bioinformatics and strong programming skills.

• 12 - 17 Years
• Doha - Qatar

Lead the development of integrated medical and performance services for athletes, focusing on health, injury prevention, and performance optimization through collaboration and i...

• 3 - 5 Years
• Doha - Qatar

Design and maintain scalable data pipelines using Apache Airflow and Google Cloud Platform, ensuring data quality and collaborating with cross-functional teams.

• 5 - 10 Years
• Doha - Qatar

Seeking professionals for artificial intelligence research and development in semiconductor innovation, focusing on strategic roadmaps, team leadership, and project management.

• 5 - 10 Years
• Doha - Qatar

Collect and analyze data, develop predictive models, optimize operations, ensure regulatory compliance, and collaborate with teams in airline operations.