Research Scientist II/Senior, Discovery ML

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Research Scientist II/Senior, Discovery ML San Diego HQ, San Diego, California, United States JOB SUMMARY We are seeking skilled scientists to join our Discovery ML 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

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