Sr Associate Scientist I or II, Medicinal Chemistry

Iambic Therapeutics•San Diego, CA

62d•$84,000 - $120,000•Onsite

About The Position

We are seeking a highly skilled and motivated Senior Associate Scientist to join the Chemistry team at Iambic Therapeutics headquarters in San Diego. This position offers the opportunity to work within a dynamic, cross-functional environment, collaborating closely with medicinal chemists, biologists, DMPK scientists, computational chemists, machine learning researchers, and software engineers throughout all stages of discovery, from hit identification and lead optimization through candidate selection. This is a laboratory-based Associate Scientist position that requires strong technical expertise in organic synthesis, catalysis, and medicinal chemistry, as well as hands-on experience in the drug discovery process and a demonstrated "drug hunter" mindset.

Requirements

BS in Chemistry with 5+ years experience (pharma/biotech) or MS in Chemistry with 3+ years experience (pharma/biotech).
Proven skills in multi-step organic synthesis, reaction optimization, SAR analysis, and scientific presentation.
Ability to thrive in a fast-paced, highly collaborative research environment.
Availability to work onsite in San Diego.

Nice To Haves

Prior exposure to high-throughput experimentation.
Familiarity with ADME-PK principles.
5+ years of experience contributing to drug discovery projects.
Experience with molecular modeling and structure-based drug design

Responsibilities

Design, synthesize, purify, and characterize chemical compounds (10 mg-5 g scale) using modern analytical techniques such as LCMS, HPLC, and NMR, employing both individual and automated parallel synthesis approaches.
Identify and optimize reaction conditions using screening kits and other streamlined methodologies.
Collaborate with the high-throughput experimentation team to ensure the successful execution of parallel chemistry experiments.
Analyze biological and ADME-PK data using cheminformatics tools and contribute to data-driven discussions and strategic planning.
Partner with computational chemists to leverage machine learning insights for efficient execution of the design-make-test cycle and platform development.
Present results to project teams and senior leadership, clearly communicating data, implications, and recommendations.