6 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...

Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program (CTRP) are seeking a Research Data Analyst 2. Duties include: Extract clinical and operational data from internal data repositories into usable formats and develop pipeline for ongoing data extraction with new data generation, using SQL, Python, R, or other appropriate languages. Compile survey data and clinical research data into usable formats. Identify relevant publicly available datasets and registries, from the National Institutes of Health, multi-institutional collaboratives, and various other sources. Obtain and harmonize external data with local data, including activities such as converting among data storage formats, merging based on common identifiers, excluding irrelevant data, consolidating naming and labeling strategies, and generating analysis-ready datasets. Conduct feature engineering and missing data imputation as needed, and...

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...

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? Our team is building an innovative Data Platform that employs advanced analytics, including prescriptive modeling and constrained optimization, for real-time routing and scheduling at scale. This platform encompasses data collection, processing, visualization, analysis, anomaly detection, root cause identification, and predictive modeling. Our data includes GPU...

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...

Stanford Research Computing is looking for a talented system administrator to join our team of collaborative and innovative professionals helping Stanford’s faculty and students use advanced computing and data tools to explore new frontiers in knowledge and solve some of humanity’s most urgent problems. Our staff work directly with some of the world's top researchers in a broad range of disciplines, across all of Stanford’s seven schools — while also supporting and learning from each other in cross-project endeavors. We maintain and steadily improve an advanced research computing facility, and we support a variety of environments for Stanford research. In Stanford Research Computing, you’ll have a rare opportunity to contribute to discoveries and inventions that have global reach and positive impact, and to share in the curiosity and commitment of the scholars and scientists who lead these projects. This position focuses on system administration,...