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Machine Learning Scientist – Clinical Prediction

Iambic Therapeutics, Inc

Boston OfficeDataFull-time
Salary$148K - $186K
Before you apply

Role details

The practical picture
Employment
Full-time
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

This role involves fine-tuning a multimodal transformer model (Enchant) for clinical prediction tasks in drug discovery, including PK/PD modeling, safety/toxicity prediction, and clinical trial outcome modeling. The position requires end-to-end ownership from dataset curation through production deployment, with strong collaboration across ML and clinical functions.

Compensation
USD 148,000–186,000 / year

What you need

  • MS in chemistry, bio/chemical engineering, or computational STEM field with 3+ years relevant experience, or PhD/equivalent
  • Strong Python experience including implementing and fine-tuning deep learning models
  • Demonstrated experience in clinical science or working with clinical datasets
  • Strong data science skills (problem framing, data sourcing, extraction, cleaning, visualization, EDA, modeling, tuning, storytelling)
  • Independence to own a workstream from data ingestion through evaluation
  • Strong engineering habits: reproducible experimentation, appropriate control strategy, clean code, testing

What you will own

  • Design and implement clinical fine-tuning of multimodal transformer models for biomedical applications
  • Identify, curate, and evaluate datasets for predicting clinical endpoints (PK/PD response, safety/toxicity, patient/trial outcomes)
  • Develop leakage-resistant experimental frameworks accounting for multiple data leakage sources
  • Design benchmarking and evaluation frameworks tracking model quality across models and tasks
  • Build models with calibration, uncertainty quantification, and clinically meaningful evaluation metrics
  • Collaborate with engineering to deploy and operationalize models, and partner with clinical scientists to align development with drug discovery needs
Core skills
PythonDeep learningPyTorchTransformer modelsClinical dataPK/PD modelingMulti-task learningDockerCUDAKubernetes
Internal freshness window ends Oct 21, 2026
View source evidence
  • summary “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”
  • responsibilities “Fine-tune large-scale multimodal transformer models for clinical and biomedical applications”
  • responsibilities “Identify, characterize, and utilize datasets that can deliver insights into pharmacokinetics (PK), pharmacodynamics (PD), toxicity, clinical adverse events, and clinical trial outcomes”
  • responsibilities “Develop and apply rigorous experimental approaches that account for multiple sources of potential leakage”
  • must_have “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”
  • must_have “Demonstrated experience in clinical science or working with clinical datasets”
  • skills “implementing and fine-tuning deep learning models”
  • skills “modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases)”
  • salary “$148K - $186K”
  • location “Boston Office”
  • employment_type “Not specified in posting”
pythondeep learningpytorchtransformer models
Role brief

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.