I

Iambic Therapeutics

AI-driven discovery for oncology and neurology

Machine Learning Scientist - Clinical Prediction

Applied Machine LearningUpdated on Nov 7
Full-time$148k - $186k /yrHybrid

About the Job

Requirements

  • A Master of Science in chemistry, biological or chemical engineering, or a computational STEM field, plus at least 3 years of relevant industry or research experience; alternatively, a 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 data science skills, including problem framing, data sourcing, extraction, cleaning, visualization, exploratory data analysis, modeling, tuning, and storytelling.
  • Ability to independently own a workstream from data ingestion through evaluation.
  • Strong engineering habits, including reproducible experimentation, appropriate control strategy, clean code, and testing.
  • Comfort working with modern machine-learning infrastructure such as Docker, CUDA, Kubernetes, and experiment tracking tools such as Weights & Biases.

Responsibilities

  • Fine-tune large-scale multimodal transformer models for clinical and biomedical applications.
  • Identify, characterize, and use datasets to develop insights into pharmacokinetics, pharmacodynamics, toxicity, clinical adverse events, and clinical trial outcomes.
  • Develop and apply rigorous experimental approaches that account for potential leakage from data splits, metadata, trial families, time, ontologies, and arm comparators.
  • 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 machine-learning and software-engineering colleagues to deploy and operationalize models.
  • Partner with clinical scientists and pharmacologists to ground model development in drug discovery and development needs.
  • Communicate results to internal teams, external partners, and at conferences.
  • Generate high-quality research and engineering code by refactoring, testing, documenting, and packaging machine-learning components.

Desired Qualifications

  • Experience building and deploying clinically relevant prediction models.
  • Familiarity with ClinicalTrials.gov or AACT data.
  • Experience with MedDRA, pharmacovigilance, or adverse-event data.
  • Direct exposure to multi-task learning.
  • Hands-on experience with agentic data extraction.
  • High-performance computing or large-scale computing experience.

About the Company

Iambic Therapeutics

AI-driven discovery for oncology and neurology

Iambic Therapeutics uses its AI-driven discovery platform to develop new therapies for cancer and neurological diseases, pursuing both an internal pipeline and partnerships with other pharma companies. Its platform combines advanced AI models with automated experiments to quickly identify and optimize drug candidates and to predict molecular properties with less data and time. The company differentiates itself by blending in-house drug development with strategic collaborations and using proprietary AI-enabled discovery to speed up prediction and validation compared with traditional methods. Its goal is to deliver new treatments to patients by accelerating drug discovery and development through AI and automated experimentation.

Company size
51-200
Company stage
IPO
Headquarters
San Diego, CA
Founded
2019

Recently Posted Jobs

Explore more opportunities at Iambic Therapeutics

See more jobs