Senior Clinical Data Scientist

Centralised Monitoring (CM) and Centralised Statistical Monitoring (CSM) are a part of Risk-based Quality Management. CM leads work with global and clinical project teams guiding them through the study de-risking exercise, helping to identify areas critical to study quality, as well as understand critical data and processes, risks associated with these processes and measures to control such risks. The CM Team builds data analyses, visualizations, notifications and perform data reviews to highlight disturbing signals in accumulating clinical data, which may be indicative of non-compliance with the study protocol, GCP or study procedures.

Senior Clinical Data Scientist I is responsible for developing and maintaining CM functionalities for studies. May coordinate work of other personnel, develop standard and/or study-specific functionalities or act as subject matter expert for selected CM functionalities. 

Works closely with RbQM leads and other Data Scientists.

Typical Accountabilities

• Will work independently and take responsibility for specific CM deliveries 

• Demonstrates good R programming skills 

• Can participate in development of new standard CM functionalities. Tasks can involve gathering of requirements, programming, testing and documentation. 

• Can design, develop and lead development of study specific CM analyses. Tasks can involve gathering of requirements, programming, testing, documentation, coordination of work of other involved personnel. 

• Can design, develop and lead development of data mapping to CM functionalities. Tasks can involve gathering of requirements, programming, testing, documentation and coordination of work of other involved personnel. 

• Can be responsible for maintenance of data mapping and study specific CM analyses to ensure they continue to work in line with requirements; acts as a subject matter expect 

• Identifies opportunities to improve deliveries and best practice 

• Provides practical solutions for problems

• Can contribute to function by training and mentoring of more junior staff 

• Can lead activities related to development of CM functionalities for a study or project

Essential:

• Educational degree (BSc/Msc/PhD) in Life Science, Computer Science or Information Science and 2 years of experience in the application of information and knowledge management in a clinical or scientific setting, or equivalent combination of education and experience

• Has good knowledge of R programming language 

• Good communication skills in both written and spoken English 

• Team player

• Has basic knowledge of SQL

• Can demonstrate analytical skills

Desirable:

• Experience in Python programming is an advantage

• Experience in leading ML projects is an advantage

• Previous knowledge of at least one BI platform is an advantage

• Previous experience in life science and clinical studies is an advantage

• Experience in analytical testing is an advantage

• Experience in UX/UI design is an advantage

Why AstraZeneca?
Our purpose is ambitious and so is our approach. Becoming a more agile and innovative company means building a dynamic, inspiring culture where we celebrate forward thinking and act with a sense of urgency. We are ambitious, take informed risks and learn from both success and failure. We are curious, creative and open to new ideas and ways of working. Above all, we are passionate about science and driven to always put patients first. Are you ready to move forward in your career?

Join us and be part of an outstanding place to work; an environment that energizes and empowers each of us to achieve our personal and organisational goals!

So, what’s next!
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.