About this role
We seek an experienced and creative medicinal chemist with a proven track record of success in drug discovery. Candidates should be motivated to work in an intensely collaborative, multidisciplinary, team-based setting. The ideal candidate will be passionate about solving medicinal chemistry challenges and proactively interfacing with teams on automated experimentation, AI-driven molecular generation, property predictions, and bioassay data generation.
This on-site role at San Diego Headquarters involves devising strategies to identify lead molecules and optimize them for potency, selectivity, and ADME properties using multivariant SAR analysis and hypothesis-driven design. Execute high-quality ideas employing modern organic chemistry transformations, synthetic methods, parallel experimentation, and innovative techniques. Leverage computational methods, automated synthesis, and high-throughput experimentation capabilities.
Work closely with molecular and cellular biology, pharmacology, computational chemistry, ADME, and other key functions. Collaborate with AI/ML teams to develop and implement predictive models for new molecule design. Communicate project updates clearly to the broader team and stakeholders while fostering scientific excellence, innovation, and teamwork in the Chemistry research group.
Iambic Therapeutics is a clinical-stage company using an AI-driven platform to develop novel medicines with unprecedented speed. Join a world-class team of AI experts and drug hunters advancing best-in-class clinical assets. Contribute to delivering better medicines through innovations in AI-based discovery technologies.
Requirements
- BS, MS, or PhD in chemistry with a focus on synthetic organic chemistry
- Experience in small molecule drug discovery in a biotechnology or pharmaceutical setting
- Proven track record of success in advancing programs from leads to advanced candidates
- Extensive experience in lead compound optimization for potency, selectivity, ADME and PK
- Expert in modern synthetic organic chemistry approaches and principles demonstrated through publications in journals and patents
- Practical experience and working knowledge of target protein degradation and associated modalities (molecular glues, PROTACs)
- Experience working with computational chemists as part of project team in design of drug targets
- Strong interpersonal, communication, time management, and leadership skills
Responsibilities
- Devise strategies to identify lead molecules and optimize them for potency, selectivity, and ADME properties using multivariant SAR analysis and hypothesis-driven design principles
- Execute high-quality ideas by employing a broad range of modern organic chemistry transformations, synthetic methods, parallel experimentation, and innovative techniques
- Work closely with molecular and cellular biology, pharmacology, computational chemistry, ADME, and other key functions
- Influence the use of computational methods and leverage automated synthesis and high-throughput experimentation capabilities
- Work closely with AI/ML teams to develop and implement relevant predictive models to aid in the design of new molecules
- Communicate project updates clearly and effectively to the broader team and key stakeholders
- Foster a culture of scientific excellence, innovation, and teamwork as a member of the Chemistry research group
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