Machine Learning Scientist – Clinical Prediction
Company websiteiambic.ai (Iambic Therapeutics, Inc, opens in new tab)
Base salary $148K to $186K
Employer-published annual base salary, USD. Advertised base range in Boston, MA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationBoston, MA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
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 Therapeutics (Nasdaq: IAM) is a technology and clinical-stage life sciences company headquartered in San Diego. By utilizing molecular superintelligence — integrating proprietary AI with automated, scalable chemistry and biology experimentation — our platform is designed to address the totality of drug discovery and development. At Iambic, we are building an engine that is designed to power the future of medicine. Learn more at iambic.ai.
MISSION & VALUES
Our mission is to make better technology for better medicines. Three values guide how we work:
Bold. We are courageous, take thoughtful risks, and approach challenges with tenacity.
Innovative. We are creative and find new solutions that deliver impact.
Collaborative. We respect one another and partner with integrity.
We value the range of perspectives our people bring, and we work to build an environment where every team member can contribute and grow.
PAY AND BENEFITS
The pay range for this role is listed above. Actual pay depends on factors including experience, skills, and location. Eligible employees in the U.S. receive company-paid medical coverage, flexible spending accounts, voluntary life insurance, 401(k) matching and flexible time off. We are in a brand-new state-of-the art facility in beautiful San Diego with a community gym, dining, and easy access to great places to live and play.
EQUAL OPPORTUNITY
Iambic is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, genetic information, marital status, veteran or military status, or any other characteristic protected by law.
Source: Iambic Therapeutics, Inc on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($148,000) is above 46% of the 142 Data & ML roles in Massachusetts listed on this site. Their median floor is $149,203; the middle half runs from $126,250 to $177,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingMachine Learning Scientist – Clinical Prediction$148K to $186K
Research Scientist II/Senior, Discovery Machine Learning$146,400 to $183,000
Sr Manager, FP&A - Discovery R&D$144K to $180K
Sr Manager, Enterprise Business Systems$144K to $180K
Lead Clinical Data Manager$152K to $190K
Software Engineer I/II - Scientific Computing$152K to $190K
Principal Medical Writer$152K to $190K
Chart as a table
| Role | Published base |
|---|---|
| Machine Learning Scientist – Clinical Prediction (this listing) | $148K - $186K |
| Research Scientist II/Senior, Discovery Machine Learning | $146,400 - $183,000 |
| Sr Manager, FP&A - Discovery R&D | $144K - $180K |
| Sr Manager, Enterprise Business Systems | $144K - $180K |
| Lead Clinical Data Manager | $152K - $190K |
| Software Engineer I/II - Scientific Computing | $152K - $190K |
| Principal Medical Writer | $152K - $190K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-31
Where this pay comes from
Location as the employer wrote it: Boston Office • Remote - US
USD 148,000 – 186,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
