About this role
Be at the cutting edge of innovation that will lead to state-of-the-art therapies for cancer. At AstraZeneca, we turn ideas into life-changing medicines. Our pioneering oncology pipeline enabled by transformative technologies drives us forward, working ambitiously together to make the impossible a reality for patients.
AstraZeneca is a global, innovation-driven biopharmaceutical company pushing prescription medicines for serious illnesses like cancer. Oncology is a core therapy area and growth platform with a vision to deliver life-changing medicines that improve outcomes for patients most in need.
As a Senior Scientist, actively contribute to programs in the Oncology Targeted Discovery chemistry group. This role deploys expert-level synthetic organic chemistry skills in designing and building complex molecules, both small and non-small, including small molecules, peptides and antibody drug conjugates to treat cancer.
Work together with various disciplines in a fast-paced, multidisciplinary environment across internal and external partners. Acquire world-class medicinal chemistry skills while contributing to a thriving portfolio of future cancer medicines covering a wide range of modalities. Support development and adoption of machine-learning/AI tools and emerging technologies.
Requirements
- Strong organic synthesis background
- Expert-level synthetic organic chemistry skills for designing and building complex molecules
- Ability to interpret SAR using quantitative and hypothesis-driven approaches
- Experience with small molecules, peptides and antibody drug conjugates
- Proficiency in separation, purification and analysis of chemical matter using validated lab techniques
- Collaborative mindset for multidisciplinary research across partners
- Enthusiasm for deploying machine-learning/AI tools in research
Responsibilities
- Design and execute multi-step modular routes compatible for rapid access to small molecule targets
- Routinely separate, purify and analyze chemical matter, both small and non-small, using validated techniques and protocols
- Employ quantitative and hypothesis-driven approaches to experimentation, including ability to interpret SAR
- Conduct research by deploying machine-learning/AI tools in a seamlessly interactive manner
- Demonstrate a collaborative team player mindset and enthusiasm for multidisciplinary research in a fast-paced environment across various internal/external partners
- Participate in writing and submission of patent applications, peer-reviewed articles, and abstracts for scientific conferences
- Ensure appropriate safety, health & environmental standards
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