Senior Scientist - Medicinal Chemistry, Oncology Targeted Discovery

6d6 days ago

AstraZeneca

Waltham, US · Full-time · $118,870 – $178,306

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.

As a Senior Scientist, you will 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 to drive innovation. Deliver highly specific therapeutics including small molecules, peptides and antibody drug conjugates to treat cancer.

Working together with various disciplines in a collaborative team player mindset. Demonstrate enthusiasm for multidisciplinary research in a fast-paced environment across various internal/external partners. Contribute to a thriving portfolio of future cancer medicines covering a wide range of modalities.

Acquire world-class medicinal chemistry skills through hands-on laboratory work. Support development and adoption of machine-learning/AI tools and emerging technologies. Location in Waltham, MA with expectation to move to new Kendall Square, Cambridge, MA site in Q3 2026.

Requirements

Strong organic synthesis background required
Expert-level synthetic organic chemistry skills in designing and building complex molecules
Ability to interpret SAR using quantitative and hypothesis-driven approaches
Experience separating, purifying and analyzing chemical matter using validated techniques
Proficiency in multi-step modular routes for small molecule targets
Familiarity with machine-learning/AI tools for research
Collaborative mindset for multidisciplinary research across partners

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 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