1118 Warehouselogistics Worker jobs in Austin,TX

$63,480+ depending on NIH Level

Working under the direct mentorship of Dr. Hongfang Liu and lab faculty

May require occasional evening, weekend, or travel commitments for research activities, conferences, and collaborative projects.

Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics, or a related quantitative field earned within the past three years.

Strong background in one or more of the following areas: * generative and trajectory modeling including transformers, mixture-of-experts, reinforcement learning, simulation, and counterfactual analysis. * Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. * Ontological engineering, knowledge graph construction and mining, CDE development for data harmonization. * Regulatory science and explainable AI, verification, validation, uncertainty quantification, and AI evaluation framework * High-performance computing and big data analytics

PhD must have been received within the last three years.

Requires visual acuity and manual dexterity sufficient to operate research equipment and computer systems.

Demonstrated understanding of model validation, clinical trial design, and causal inference techniques.

Experience with transformer-based models, LLMs, retrieval-augmented generation (RAG), or foundation models.

Experience analyzing complex real-world clinical datasets (e.g., MIMIC-IV, OMOP CDM, PCORnet, NACC Uniform Data Set, or state cancer registries).

Knowledge of causal inference, clinical prediction modeling, or multimodal AI.

Experience with responsible AI, model evaluation, fairness, privacy, or explainable AI.

Experience with biomedical image processing, radiomics, or digital pathology.

Scientific programming on Linux or high-performance computing environments.