At AstraZeneca, we are united by a common purpose – to push the boundaries of science to deliver medicines. This purpose underpins everything we do; our work helps to make hearts healthier, to help people breathe easier, and to help more people survive cancer. Every day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide and by leading breakthrough science that promises to transform the treatment of disease.

Our purpose is ambitious and so is our approach. Becoming a more agile and innovative company means creating a vibrant, dynamic culture where we celebrate entrepreneurial thinking and act with a sense of urgency. We are courageous, taking risks and learning 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. Join us and be part of a great place to work; an environment that energizes and empowers each of us to contribute to achieving our goal to develop and deliver life-changing medicines.

Position Type: Contract, Full time

Location: Mississauga, Head Office

Career Level: E

Aligned within Global Feasibility and Site Intelligence function, the Data Scientist will play a meaningful role in supporting data driven strategic and operational feasibility, site identification, and recruitment and retention modelling for early to late stage medicines development across Oncology and BioPharmaceuticals R&D, beginning at the concept stage through to execution, including ongoing trials.

Responsibilities:

• Conducts hands-on data mining/machine learning projects based on specific datasets and customer problems
• Build algorithms to extract information from large data sets and seeks feedback from customers to adapt approaches to new insights based on data findings
• Design, develop and implement analytical solutions to optimize site selection for clinical trial conduct
• Use historical site intelligence to identify drivers to predict performance, TA specific, based on site execution data
• Continuous data analysis post study completion, real-time evaluation of delivery, transfer successes to future strategy
• Responsible for developing and piloting analytical tools, algorithms and methods
• Develops, test, implement and refine advanced analytics methods across available clinical study and real-world data to improve our ability to identify, select and work with the right sites for a specific protocol, program, indication
• Continuous evolution of internal site intelligence platform, optimization and enrolment modelling tools, in collaboration with DS&AI. Develop/apply algorithms to visualize data outputs
• Evaluating new data sources and support integration with existing data to improve capability
• Site Selection metrics reporting including benchmarking data analysis, ad-hoc requests
• Clearly and objectively communicate results, as well as their associated uncertainties and limitations
• Constructively collaborate with a diverse set of users (global, regional and local roles, TA leads) and partners, enabling effective consensus, conflict resolution and alignment to project goals
• Establish a controlled learning environment where model iteration and continual improvement is normal practice
• Define and establish a decision framework that facilitates clear decision making, taking into account all meaningful data, information and expert knowledge

Qualifications

• MSc or PhD statistics, mathematics, informatics, computer science, the physical sciences or related subject
• Experience in data mining; machine learning; statistics and visualization
• Computing skills: scientific computing and scripting (R, Python, , Jupyter, Hadoop, AWS), software development, database design and coding
• Understanding of software development practices including version control and testing
• Understanding of algorithm design, development, optimization, scaling and application
• Knowledge of Agile or Kanban methodology
• Ability to work independently, and as a team member in a matrix environment
• Customer focus - dedicated to meeting the expectations and requirements of internal and external customers
• Integrity and trust -- unwavering dedication to "doing the right thing"
• Experience from Drug Development and Feasibility in the pharmaceutical industry
• Ability to multitask under tight timelines, while providing attention to detail and high quality work.
• Strong presentation skills, effective oral and written communication

Great People want to Work with us! Find out why:

• GTAA Top Employer Award for 6 years: https://reviews.canadastop100.com/top-employer-astrazeneca-canada
• Best Workplace Culture Award at the 2018 Canadian HR Awards: https://www.linkedin.com/pulse/thriving-best-workplace-culture-gena-restivo/
• Learn more about our culture: https://www.linkedin.com/posts/genarestivo_greatpeople-greatplacetowork-topemployers2020-activity-6608742174811049985-N-8G

Are you interested in working at AZ? Apply today!

Date Posted

21-Feb-2020

Closing Date

23-Feb-2020

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 authorization and employment eligibility verification requirements.