Director Data Science
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
- We welcome new ideas and innovations to help us continue to add value. Our ultimate goal is to deliver products and novel insights to improve patient’s lives.
Key Responsibilities
- Lead cross-disciplinary project teams in a complex matrix organization to deliver projects across business areas.
- Identify opportunities, drive outcomes and results, then clearly communicate financial and business benefits to variety of stakeholders.
- Contribute to strategic discussions at a portfolio level.
- Mentor and coach junior colleagues.
- Hands-on use of data science, machine learning and visualization to challenges faced in drug development including support for design and interpretation of clinical trials
- Leading the team to use good software engineering practices, e.g. GitHub, Jira, Docker, unit testing, DVC, etc. Proposing and driving improvements in this area.
- Ensure work is compliant with clinical development and other appropriate regulations and procedures
- Communicate machine learning, statistical methods and insights to various domain experts, e.g. clinical teams, data scientists, senior management, statisticians, external collaborators
- Develop collaborations with external academic and commercial enterprises
- Contribute ideas and provide creative input within the data science community at AstraZeneca
- Continue to develop as a data scientist / machine learning expert using assigned personal development time.
- Essential For The Role
- Ph.D. in machine learning, data science, computer science, statistics
- Or MSc in machine learning, data science, computer science, statistics and substantial experience applying machine learning and data science technologies in late stage pharma setting
- Track record of delivery excellence, with a fail fast philosophy, and ability to maintain focus in demanding high impact situations when they arise
- Deep knowledge and understanding of machine learning algorithms – including pros and cons of different approaches
- Understanding of how to create robust and well tested models, considering data privacy and ethical AI principles
- Experienced in Python and familiar with modern software engineering practices and the use of modern collaborative tools (familiarity with some or all of the following:- AWS or similar cloud technology, GitHub, Jira, Docker, unit testing, DVC etc.)
- Excellent communication skills and team working skills to achieve objectives.
- Build project level strategy, provide leadership of junior members through mentorship and coaching skills
نوع التوظيف
المجال
القسم / المجال المهني
مدير قاعدة البيانات / تخزين البيانات (برنامج تكنولوجيا المعلومات)
