Introduction to role

As the Associate Director of Advanced Medical Analytics, you will be a key contributor to the Advanced Analytics and Clinical Trial Efficiency team. Our mission is to drive healthcare innovation by equipping stakeholders with insights from fit-for-purpose analytic solutions to accelerate the achievement of clinical trial and medical science initiatives. This role involves working closely with cross-functional leaders across US Medical, R&D, and global teams to deliver high-impact projects. Based in the US, your primary responsibility will be leveraging various datasets to provide insights to teams focused on engagement, medical education, and evidence generation.

Accountabilities

- Work both collaboratively and independently to deliver insights from real-world data for high-impact workstreams and products that may take multiple months from start to finish.
- Use machine learning to deploy predictive models aimed at solving complex business problems.
- Apply gen-AI and/or LLM to unstructured data including clinical research studies, publications, social media, and other datasets to provide more detailed healthcare provider insights.
- Provide end-to-end project support including data engineering and pipeline development as needed.
- Be well-versed with healthcare-related datasets to support thought partnership for new projects and provide perspectives on data challenges.
- Leverage appropriate BI tools to visualize and convey key insights from underlying data as needed.
- Work with stakeholders and other core team members to prioritize and deliver product improvements for existing tools in production.

Essential Skills/Experience

- BA/BS degree in relevant field; (e.g., Computer Science, Engineering, Statistics etc.)
- 3+ years of pharmaceutical or biotechnology experience working for a biopharmaceutical company or other relevant industry (e.g., management consulting, market research)
- Ability to work independently and collaboratively with cross-functional partners on end-to-end delivery of high-impact projects.
- Demonstrated history of delivering data science solutions to the business that have generated business impact in commercial, medical or R&D roles.
- Comfortable working with healthcare datasets in a cloud computing environment (Python, SQL, DataBricks, AWS, SageMaker, Git, etc.)
- Experience in data visualization and BI tools to deliver outcomes from analytics projects.

Desirable Skills/Experience

- Advanced Degree in relevant field (e.g., MD, MBA, PhD or MS)
- 5+ years of experience delivering advanced analytics solutions leveraging machine learning or other predictive analytic techniques.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are driven by results and thrive in our vibrant environment. Our BioPharmaceuticals pipeline is growing, and it takes something special to get that out to patients. We go above and beyond to find solutions that impact patients - harnessing science with technology and connecting the entire healthcare ecosystem. Every decision we make is centered around how we can better serve patients. We strive to create a place where everyone is empowered to speak up and share ideas. If you're the kind of person who will embrace all the investment, feedback, and ample opportunities on offer, then this is the place for you.

Ready to make a difference? Apply now!

“AstraZeneca Canada offices will be closed from December 25th to January 1st, re-opening January 2nd. We encourage you to apply to jobs of interest and we will review applications upon our return.”

Date Posted

Closing Date

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.