Pay
$166K–$240K is typical
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From 1,279 postings in the last year. Stated ranges, not salaries paid.
Boston Office · Remote - US · Boston, MA, US
Open 4 months, first seen by us 137 days agoLocation type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Technology › Machine LearningFrom the employer’s posting
Will you now or in the future require visa sponsorship?From the employer’s application form
Fine-tune large multimodal transformer models for clinical and biomedical tasks
Curate datasets on PK, PD, toxicity, adverse events, and trial outcomes
Design leakage-resistant experiments and benchmarking frameworks
Build models with calibration, uncertainty, and clinically meaningful metrics
Deploy and operationalize models with ML and software engineering colleagues
Fine-tune large-scale multimodal transformer models for clinical and biomedical applications
Identify, characterize, and utilize datasets that can deliver insights into pharmacokinetics (PK), pharmacodynamics (PD), toxicity, clinical adverse events, and clinical trial outcomes
Develop and apply rigorous experimental approaches that account for multiple sources of potential leakage
Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics.
Collaborate with ML and software engineering colleagues to deploy and operationalize models
Strong Python experience, including implementing and fine-tuning deep learning models
Demonstrated experience in clinical science or working with clinical datasets
Experience building and deploying clinically relevant prediction models
Hands-on experience with agentic data extraction
Familiarity with ClinicalTrials.gov/AACT data
Experience with MedDRA, pharmacovigilance, or adverse event data
REQUIRED QUALIFICATIONS - MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth - Strong Python experience, including implementing and fine-tuning deep learning models
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 137 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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$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 137
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- MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth - Strong Python experience, including implementing and fine-tuning deep learning models - Demonstrated experience in clinical science or working with clinical datasets
- Strong engineering habits: reproducible experimentation, appropriate control strategy, clean code, testing - Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases) PREFERRED QUALIFICATIONS
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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 a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. In this role, you will design and implement clinical fine-tuning of Enchant, our multimodal transformer model trained on a wide variety of biomedical data, pushing the boundaries of what large-scale foundation models can achieve in drug discovery.
This role spans data sourcing through to production deployment. You will identify, curate, and evaluate datasets that support prediction of relevant clinical endpoints (patient- and trial-level outcome modeling, safety/toxicity prediction, and PK/PD response modeling) and fine-tune Enchant to deliver critical clinical insights. This includes developing rigorous, leakage-resistant experimental frameworks, optimizing training, orchestrating runs at scale, and working with colleagues across ML and clinical functions to put these models into the hands of scientists making real therapeutic decisions.
KEY RESPONSIBILITIES
Fine-tune large-scale multimodal transformer models for clinical and biomedical applications
Identify, characterize, and utilize datasets that can deliver insights into pharmacokinetics (PK), pharmacodynamics (PD), toxicity, clinical adverse events, and clinical trial outcomes
Develop and apply rigorous experimental approaches that account for multiple sources of potential leakage (split, metadata, trial-family, temporal, ontological, arm-comparator, etc.)
Design and maintain benchmarking and evaluation frameworks that track model quality across models and tasks
Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics.
Collaborate with ML and software engineering colleagues to deploy and operationalize models
Partner with clinical scientists and pharmacologists to ensure model development is grounded in drug discovery and development needs
Communicate results to internal teams, external partners, and at conferences
Generate high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity
REQUIRED QUALIFICATIONS
MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth
Strong Python experience, including implementing and fine-tuning deep learning models
Demonstrated experience in clinical science or working with clinical datasets
Excellent Data Science skills (problem framing, data sourcing, extraction, cleaning, visualization, EDA, modeling, tuning, storytelling, etc.)
Enough independence to own a workstream from data ingestion through evaluation
Strong engineering habits: reproducible experimentation, appropriate control strategy, clean code, testing
Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases)
PREFERRED QUALIFICATIONS
Experience building and deploying clinically relevant prediction models
Familiarity with ClinicalTrials.gov/AACT data
Experience with MedDRA, pharmacovigilance, or adverse event data
Direct exposure to multi-task learning
Hands-on experience with agentic data extraction
HPC or large-scale computing experience
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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Boston, MA, US
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