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 while proactively interfacing with diverse teams.
This role 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, parallel experimentation, and innovative techniques. The position requires on-site presence at our San Diego Headquarters.
Work closely with molecular and cellular biology, pharmacology, computational chemistry, ADME, and other key functions. Influence computational methods, leverage automated synthesis, and high-throughput experimentation. Collaborate with AI/ML teams to develop predictive models aiding new molecule design.
Communicate project updates effectively to teams and stakeholders while fostering scientific excellence and innovation. Join Iambic Therapeutics, a clinical-stage company using AI-driven platforms to deliver novel medicines rapidly. Advance a pipeline addressing unmet patient needs through pioneering technology.
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 and a B.S. with 15+ years’ experience, M.S. with 12+ years’ experience or Ph.D. with 8+ years’ experience
- 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
- Work as a member of the Chemistry research group and foster a culture of scientific excellence, innovation, and teamwork
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