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    Job · 15009216

    Iambic Therapeutics logo

    Machine Learning Scientist – Clinical Prediction

    Iambic Therapeutics · Remote · remote · Posted 51d ago

    $148K – $186K3+ yrsfulltimeSourced fromAshby

    About a minute. You'll make an account on the way through.

    About this role

    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 http://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 http://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.

    Sourced from ashby

    Skills

    DockerKubernetesSourcingPythonDeep LearningData ScienceMachine Learning

    About Iambic Therapeutics

    Iambic Therapeutics logo

    Iambic Therapeutics

    San Diego

    US

    ₹1.5L – ₹1.9L PA

    This role

    About

    Iambic is disrupting the therapeutics landscape with its unique AI-driven drug-discovery platform. The Iambic AI-driven platform was created to address the most challenging design problems in drug discovery, leveraging technology innovations such as Enchant, a multi-modal transformer model that predicts clinical outcomes from the earliest stages of discovery, and NeuralPLexer, the best-in-class predictor of protein and protein-ligand structures. The integration of physics principles into the platform’s AI architectures improves data efficiency and allows molecular models to venture widely across the space of possible chemical structures. The platform enables identification of novel chemical modalities for engaging difficult-to-address biological targets, discovery of defined product profiles that optimize therapeutic window, and multi-parameter optimization for highly differentiated development candidates. Through close integration of AI-generated molecular designs with automated experimental execution, Iambic completes design-make-test cycles on a weekly cadence.

    Industries

    Artificial Intelligence (AI)Health CareMachine LearningOncologySoftwareTherapeutics

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