Phd with 2+ years post-doctoral or industrial experience
Hands-on quantitative mass spectrometry method development
Experience with ip-ms or chemical probe-based enrichment workflows
The role involves developing and employing chemical tools and proteomics technologies to provide mechanistic insights for drug discovery projects across therapeutic areas
Job Summary
The role involves developing and employing chemical tools and proteomics technologies to provide mechanistic insights for drug discovery projects across therapeutic areas.
Candidates will design and execute experimental plans to understand target engagement, selectivity profiles, and drug-induced proteome dynamics of therapeutic agents.
AstraZeneca offers an inclusive culture that champions diversity, collaboration, and lifelong learning while empowering scientists to push the boundaries of medicine.
Matching Summary
The role involves developing and employing chemical tools and proteomics technologies to provide mechanistic insights for drug discovery projects across therapeutic areas.
Salary
Base: $116,284.00 - $174,426.00 USD Annual; Bonus/Equity: Short-term incentive bonus and equity-based long-term incentive program eligible; Benefits: Retirement contribution and commission eligibility (sales roles)
Skills & Requirements
Must-have
PhD with 2+ years post-doctoral or industrial experience
Hands-on quantitative mass spectrometry method development
Experience with IP-MS or chemical probe-based enrichment workflows
Expertise in TMT, SILAC, label-free, and DIA approaches
Skilled in investigating PTMs and protein complex perturbations
Nice-to-have
Experience with pre-clinical drug discovery projects
Familiarity with targeted proteomics techniques
Positive result-oriented and problem-solving attitude
External reputation through high-impact publications
Experience with robotic automation and liquid handling systems
Key Requirements
PhD degree required
Minimum 2 years post-doctoral or industrial experience
Proven expertise in mass spectrometry-based covalent screening
Strong data analysis and communication skills
Significant external reputation via publications and presentations