Clinical Information Science Associate Director

AstraZeneca

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AstraZeneca in Canada

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.

The position sits within Oncology Information Practice department a part of the Oncology Biometrics organisation. As part of a diverse global team you will support the drug development process by providing scientific information (literature, data analytics, digital visualizations) for late stage drug development. The team also delivers information and data supporting the Oncology drug projects portfolio decisions via strategic information initiatives, applying knowledge of external environment and trends for internal information needs. 

What you’ll do

As an information expert you are responsible for delivery of information needed to make drug development decisions, making you an authority on innovative use of information and data to help craft our trials and portfolio. You will use a variety of information sources such as scientific literature, competitive intelligence, internal and external clinical trial databases and techniques such as specialist information search and analysis, data visualization and benchmarking to extract and present key relevant information for decision making. You are accountable for Information Practice delivery scope in one or more drug projects in Late stage Oncology by own contribution or leadership of other information practice staff.

Your accountabilities will include: 

  • Support decision-making in clinical design, submission and interpretation by identifying, benchmarking, extracting and presenting back meaningful facts and data via internal and external competitor intelligence information sources
  • Use or understand techniques such as: text mining and data visualization extracting key relevant information enabling timely and objective clinical study design decision
  • Build/maintain a repository of key data, bringing together key historical decisions for wide team to use and refer to
  • Plan and work independently and take ownership for specific deliveries within a drug project, and ensure high quality is built into results

To succeed in this opportunity, you will have a real passion for oncology, clinical data and information – in particular knowing what information you require, how to seek it out, and how to share it with the teams in an insightful way.You will be an excellent communicator, with a strong team focus who enjoys collaborating to achieve the best results.

In addition, you will also have:

  • Advanced degree in Life Science (PhD, PharmD, MD) and 3 years of proven experience or Masters’ degree with 5 years of relevant experience.
  • Deep understanding of the pharmaceutical clinical drug development process(setting could include, but are not limited to: Clinical Operations, Regulatory, Early development, medical affairs, Competitive/Regulatory Intelligence, CRO).
  • Experience in defining and driving literature and database search strategies.
  • Demonstrated leadership capability.
  • Significant experience / consistent track record in the application of information and knowledge management in a clinical or scientific setting.
  • Good written and verbal communication skills including presentation skills and proficiency in communicating sophisticated information to a diverse audience.
  • Strong organizational skills with the ability to multitask, set priorities and follow a timeline.
  • Great attention to detail.

Desirable for the role

  • Experience in Oncology/Immuno-Oncology biology, or immunology or oncology related fields.
  • Experience/understanding of NLP software for literature searches.
  • Experience or knowledge in Machine Learning.
  • An interest in mentoring and developing more junior team members.

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

  • GTAA Top Employer Award for 10 years
  • Top 100 Employers Award
  • Canada’s Most Admired Corporate Culture
  • Learn more about working with us in Canada
  • View our YouTube channel

Are you interested in working at AZ, apply today!

AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing [email protected].

Date Posted

09-Feb-2024

Closing Date

28-Feb-2024

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.

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