5 jobs found

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...

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,...

Stanford University is seeking a Research Data Analyst 3 to manage and analyze large amounts of information, typically technical or scientific in nature, while leading and directly supervising a team of data analysts. Stanford University is one of the world’s most renowned universities.  Sitting in the heart of the San Francisco Bay Area among the valley’s most progressive companies.   You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements.  Our culture is fast-paced, energetic, and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: Events and program for children, sports camps, tuition options World-class...

At the American Cancer Society, we're working to end cancer as we know it, for everyone. Our employees and 1.3 million volunteers are raising the bar every single day. We are a culture comprised of diverse backgrounds and experience, to better serve our communities.  The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled. **This position will be based in our Downtown Atlanta office 3-4 days per week.** The Associate Scientist assists principal scientists in the Population Science program with research on the epidemiologic aspects of the cancer continuum: prevention, detection, treatment, and survivorship. They contribute to a team of research analysts who share responsibilities for programming, statistical modeling, program review, analysis documentation, development of new study resources, and support of external collaborations. In addition, the analyst will...

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...