Associate Director, Oncology Data Science
Associate Director, Oncology Data Science
Mississauga, Ontario
Join our Early Data Science team in the Oncology R&D department at AstraZeneca, where we are growing to meet the strategic challenges pursued by AZ Oncology.
We are looking for a talented and highly motivated Associate Director of Data Science to join a team designing and applying cutting-edge computational analysis to drive clinical biomarker hypothesis, and advance our understanding of response and resistance mechanisms of novel therapeutics.
Accountabilities :
As an Associate Director, you will apply advanced statistical and machine learning methods to analyze multi-modal data aiming to potential biomarker and MoA (mechanism of action) insights.
You will drive the development of biomarker identification, validation and patient stratification strategies in collaboration with cross-functional teams.
You will effectively communicate complex findings and recommendations to diverse stakeholders through compelling data visualizations, reports, and presentations.
You will also work with our Research and Translational Medicine Leads to proactively influence the generation of data assets as part of a data generation strategy to evaluate novel hypothesis and drive target discovery.
Essential Skills / Experience :
- PhD in Data Science, Statistics, Bioinformatics, Computer Science, or a related quantitative field, with more than three years of experience in Pharma / Biotech or large cancer center
- Extensive expertise in statistical analysis, machine learning, and advanced data manipulation techniques
- Proficiency in programming languages such as Python, R, or similar
- Significant experience in cancer biomarker analysis of multi-modal data from oncology clinical trials
- Deep knowledge of cancer genetics and key algorithmic & statistical methods applicable to cancer genomics
- Exceptional communication and leadership skills
- The ability to coordinate and pursue multiple simultaneous projects with tight deadlines
- Strong external presentation and publication record
Desirable Skills / Experience :
- Experience working with spatial omics data
- Proficiency in generative AI techniques and their application in data analysis and research
- Well networked within external data science and oncology communities
At AstraZeneca, we are actively embracing and investing in technology, harnessing digital, data and analytics to reimagine the future of healthcare and deliver improved outcomes to patients beyond core medical.
We are proud to work here, fusing the tools of our leading pharmaceutical company with an agile mindset to guide the strategy and operational delivery of digital health solutions across Research & Development.
We are ambitious self-starters, proactively driving our own learning. Open-minded and curious, we embrace change and naturally adapt to our ever-evolving industry.
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.
Competitive remuneration and benefits apply
We offer a competitive Total Reward program including a market driven base salary, bonus and long term incentive. We have a generous paid time off program and a comprehensive benefits package.
Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn
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