Research Scientist II/Senior, Discovery Machine Learning

Iambic; San Diego (CA); On-site; USD 146,400 - 203,500; Full time

Benefits offered by this job

Company paid healthcare

Flexible spending accounts

401K matching

Uncapped vacation

Job summary

Iambic in San Diego is seeking skilled scientists for our Discovery Machine Learning group. This role involves applying advanced machine learning techniques to enhance our drug discovery efforts. You will work closely with scientists and pharmacologists, training and optimizing ML models to support critical therapeutic developments.

The ideal candidate will have a PhD in a relevant field and be comfortable communicating complex concepts effectively. We offer competitive compensation and comprehensive benefits, including healthcare and 401K matching.

Qualifications

• PhD or equivalent degree in chemistry or another physical science with 3+ years of experience.
• Familiarity with statistical analysis techniques for model evaluation.
• Excellent written and verbal communication skills.

Responsibilities

• Train and evaluate machine learning models in drug discovery.
• Collaborate with chemists and biologists for decision-making in design cycles.
• Communicate results with internal teams and partners.
• Gather feedback for model evolution.

Skills

Python programming

Statistics

Drug discovery

Education

PhD or equivalent degree in chemistry or related field

PhD in computational chemistry or machine learning

Job description

Job Summary

We are seeking skilled scientists to join our Discovery Machine Learning group at Iambic Therapeutics. In this role, you will be a key player in applying advanced ML techniques to support our drug discovery efforts and will be part of drug discovery teams pursuing important therapeutics across multiple indications. The work will include focus on our flagship machine learning models, including Enchant, our multimodal transformer model for predicting drug‑target interactions and molecular properties. This role is based at our San Diego headquarters.

Key Responsibilities

• Train, fine‑tune, and evaluate machine learning models, assessing how they can best be leveraged in a drug‑discovery setting and optimizing their performance.
• Partner with computational chemists, medicinal chemists and biologists to leverage ML insights for decision‑making in high‑throughput design‑make‑test‑analyze cycles.
• Generate value, internally and for partners, from our machine learning models, and collaborate with other discovery teams to shape their use.
• Communicate results with internal drug discovery teams and machine learning scientists and externally with partners.
• Support the evolution of our machine learning models by gathering analytical feedback and delivering domain‑driven guidance to the machine learning team.

Qualifications

Required:

• 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.
• Familiarity with using statistical analysis techniques to evaluate, troubleshoot, and adapt models in scientific contexts.
• Excellent written and verbal communication skills; must be able to articulate complex scientific concepts, technical challenges, and results clearly and concisely to diverse audiences.
• Skills: Python programming, statistics, drug discovery.

Strongly preferred:

• PhD or equivalent degree in computational chemistry or machine learning in chemistry.
• 3+ years of experience working in a drug discovery project.

Pay and Benefits

We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. Compensation Range: $146.4K - $203.5K.