3 data science jobs found in Stanford, CA

The Department of Genetics in the Stanford University School of Medicine is a world-renowned hub for innovation in genomics, computational biology, and translational research. Our lab focuses on developing next-generation computational frameworks and automatic data analyses systems to analyze single-cell and spatial omics data, enabling new discoveries in developmental biology and disease modeling. We are seeking up to two Software Developer 1 to join our interdisciplinary team and support the development of a modular automatic data analyses system for automating single-cell and spatial data analysis. The ideal candidate will contribute to the design, implementation, and scaling of cloud-based applications that power predictive models of organogenesis and disease progression. This is an excellent opportunity to work at the forefront of biomedical data science, collaborating with world-class researchers, engineers, and entrepreneurs in a fast-paced academic and translational...

NVIDIA is looking for a dedicated Machine Learning Engineer specializing in LLM training datasets engineering. This is a highly technical role requiring deep expertise in machine learning, data science and data engineering to develop innovative solutions that address the unique challenges of training foundation models. This role involves addressing innovative machine learning challenges through building and improving our data ecosystem. What you'll be doing: Develop datasets for LLM pre-training and post training (fine-tuning and reinforcement learning), optimize models and evaluate performance. Design and implement data strategies for model training and evaluation that includes data collection, cleaning, labeling, augmentation, RL verifier datasets to improve model performance. Actively identify and manage data issues such as outliers, noise, and biases. Generate high-quality synthetic data to augment existing datasets, especially for...

We are looking for a Data Governance Analyst to drive data quality initiatives and champion data governance across our organization. This role focuses on partnering with our product, engineering and support teams to establish data standards, implement validation processes, and ensure data accuracy throughout our workflows. You'll collaborate across teams to develop and maintain data quality metrics, investigate discrepancies, and build automated monitoring solutions. This position offers the opportunity to shape how our organization views and values data quality while fostering a culture of data-driven decision making! What you'll be doing: Collaborating with partner teams to onboard new customer data, inclusive of metadata tagging and classification Establishing and maintaining metadata management systems to enhance data discoverability and usage Creating and deploying automated validation processes to maintain consistency with data management...