[Remote] Machine Learning Scientist – Clinical Prediction

Note: The job is a remote job and is open to candidates in USA. Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. They are seeking a Machine Learning Scientist to design and implement clinical fine-tuning of their multimodal transformer model, Enchant, which is aimed at enhancing drug discovery through advanced data analysis and modeling.ResponsibilitiesFine-tune large-scale multimodal transformer models for clinical and biomedical applicationsIdentify, characterize, and utilize datasets that can deliver insights into pharmacokinetics (PK), pharmacodynamics (PD), toxicity, clinical adverse events, and clinical trial outcomesDevelop 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 tasksBuild models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metricsCollaborate with ML and software engineering colleagues to deploy and operationalize modelsPartner with clinical scientists and pharmacologists to ensure model development is grounded in drug discovery and development needsCommunicate results to internal teams, external partners, and at conferencesGenerate high-quality research and engineering code: refactor, test, document, and package ML components to support team velocitySkillsMS 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 depthStrong Python experience, including implementing and fine-tuning deep learning modelsDemonstrated experience in clinical science or working with clinical datasetsExcellent 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 evaluationStrong engineering habits: reproducible experimentation, appropriate control strategy, clean code, testingComfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases)Experience building and deploying clinically relevant prediction modelsFamiliarity with ClinicalTrials.gov/AACT dataExperience with MedDRA, pharmacovigilance, or adverse event dataDirect exposure to multi-task learningHands-on experience with agentic data extractionHPC or large-scale computing experienceBenefitsCompany paid healthcareFlexible spending accountsVoluntary life insurance401K matchingUncapped vacationBrand-new state-of-the art facility in beautiful San Diego with an onsite gymDiningEasy access to great places to live and playCompany OverviewIambic is disrupting the therapeutics landscape with its unique AI-driven drug-discovery platform. It was founded in 2019, and is headquartered in San Diego, California, USA, with a workforce of 51-200 employees. Its website is https://www.iambic.ai.