Job Summary:
Iambic Therapeutics is a clinical-stage life-science and technology company focused on developing novel medicines using AI-driven discovery technology. They are seeking a skilled Research Scientist II/Senior to join their Discovery Machine Learning group, where the role involves applying advanced machine learning techniques to support drug discovery efforts across multiple therapeutic indications.
Responsibilities:
โข Train, fine-tune, and evaluate machine learning models, assessing how they can best be leveraged in a drug-discovery setting and optimizing their performance
โข Partner with computational chemists, medicinal chemists and biologists to leverage ML insights for decision-making in high-throughput design-make-test-analyze cycles
โข Generate value, internally and for partners, from our machine learning models, and collaborate with other discovery teams to shape their use
โข Communicate results with internal drug discovery teams and machine learning scientists and externally with partners
โข Support the evolution of our machine learning models by gathering analytical feedback and delivering domain-driven guidance to the machine learning team
Qualifications:
Required:
โข PhD or equivalent degree in chemistry or another physical science with 3+ years of experience or commensurate degree and job experience. More junior candidates are welcome to apply, title will reflect experience.
โข Familiarity with using statistical analysis techniques to evaluate, troubleshoot, and adapt models in scientific contexts
โข Excellent written and verbal communication skills; must be able to articulate complex scientific concepts, technical challenges, and results clearly and concisely to diverse audiences.
โข Skills: Python programming, statistics, drug discovery
Preferred:
โข PhD or equivalent degree in computational chemistry or machine learning in chemistry
โข 3+ years of experience working in a drug discovery project
Company:
Iambic is disrupting the therapeutics landscape with its unique AI-driven drug-discovery platform. Founded in 2019, the company is headquartered in San Diego, USA, with a team of 51-200 employees. The company is currently Growth Stage.