Senior Scientist, Bioinformatics, Oncology R&D

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. It is dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions for some of the world’s most serious diseases.

At AstraZeneca Oncology, we are leading a revolution to redefine cancer care by pushing the boundaries of science to change the practice of medicine and transform the lives of patients living with cancer.

Working with one of the broadest and deepest Oncology pipelines in the industry offers the exciting opportunity to impact the most novel molecules throughout development stages.

The Early Data Science group delivers actionable insights through the application of computational science to all areas of AstraZeneca’s Oncology portfolio.

It has substantial expertise and outstanding track record in bioinformatics and data science, undertaking both portfolio applied informatics research and the development of ground-breaking capabilities.

Do you have expertise in bioinformatics / computational biology and immuno-oncology? Do you have experience deciphering complex omics datasets from clinical trials?

Do you have a passion for turning scientific discoveries and insights into life-changing medicines? Do you enjoy team work in a highly dynamic and innovative environment?

This role at AstraZeneca might be the one for you! You will be based in our Mississauga campus.

What you’ll do

The Early Data Science group is growing to meet the strategic challenges pursued by AZ Oncology. We are looking for a hardworking and motivated Senior Scientist to join our Late IO Bioinformatics team.

The role will focus on our expanding portfolio of immuno-therapy containing regimes in clinical stage. You will

• Analyze late-stage clinical trials in immunotherapies to provide biological insights into patient response, using clinical data and rich patient genomic data, and guide clinical development strategies for future trials
• Apply the latest computational / systems biology approaches to the wealth of AZ Oncology clinical trial and real-world data;

proactively devise and implement innovative bioinformatic solutions with a focus on immuno-oncology

• Use your knowledge of cancer biology, drug development and data science to deliver actionable impacts for cross-portfolio tumor strategy
• Collaborate closely with our Translational Medicine Leads to drive effective data generation from clinical trials and help address technology / analytics gaps
• Contribute bioinformatics expertise to the application and development of cutting-edge technologies in key strategic growth areas
• Publish work in high impact journals with industry and academic partners to increase visibility of AZ data science

Essential for the role

• Relevant PhD (or equivalent graduate degree plus proven applied experience), combining technical expertise in computational biology, bioinformatics, data science or applied biostatistics
• A solid understanding of the molecular and / or immunological mechanisms driving cancer
• Skilled in effective communication of complex data, analysis and results to non-computational scientists and partner lines
• The ability to successfully work in a matrix setting and manage multiple simultaneous priorities on tight deadlines
• Familiarity with bioinformatics algorithms and toolkits; Programming proficiency in a Linux environment of high performance computing
• Experience and knowledge with data from clinical trials is strongly desired; expertise in ctDNA / liquid biopsy, single-cell technologies or spatial omics would also be a plus

Date Posted

08-Apr-2024

Closing Date

28-Apr-2024