Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Reads like a ML Engineer role: putting models into production.
San Diego HQ · San Diego, California, United States
Open 4 months, first seen by us 141 days agoEmployment type: Full-timeFrom the employer’s posting
Department: Science › Discovery Machine LearningFrom the employer’s posting
Will you now or in the future require visa sponsorship?From the employer’s application form
Train, fine-tune, and evaluate machine learning models for drug discovery
Partner with chemists and biologists to use ML insights in design-make-test-analyze cycles
Share results with internal teams and external partners
Give analytical feedback and domain guidance to the machine learning team
Train, fine-tune, and evaluate machine learning models, assessing how they can best be leveraged in a drug-discovery setting
Partner with computational chemists, medicinal chemists and biologists to leverage ML insights for decision-making in high-throughput design-make-test-analyze cycles
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
PhD or equivalent degree in chemistry or another physical science with 3+ years of experience
Skills: Python programming, statistics, drug discovery
Familiarity with using statistical analysis techniques to evaluate, troubleshoot, and adapt models in scientific contexts
Excellent written and verbal communication skills
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
Strongly preferred: - PhD or equivalent degree in computational chemistry or machine learning in chemistry - 3+ years of experience working in a drug discovery project
Our mission is to deliver better medicines through innovations in AI-based discovery technologies.
In the employer’s words · Read in context · Company website ↗
Open 4 monthsWe first saw this posting 141 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 141
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,347 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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:
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
ABOUT IAMBIC THERAPEUTICS
Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.
MISSION & CORE VALUES
Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.
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. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.
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San Diego, California, United States
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