Director Data Science
Posted on :
03-08-2024
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1 Vacancy
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Job Description
- 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
Employment Type
Full-time
Department / Functional Area
Key Skills
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