This is a 6-month temporary opportunity with the potential to convert to a full-time, continuing role.
This position located in the Office of the Dean, Stanford Medicine, and supports one of the Dean’s key initiatives: Biomedical Data Science. The initiative brings the power of “Big Data” to Medical research and Patient Care delivery. We are looking for someone who can create the data platform for Data Science-based medical research. Stanford Medicine has access to data on genetics, immunomics, molecular studies, clinical care delivery, and much more. All of these play a part in human health,
whether at an individual level, or at population level – or anywhere in the middle.
Working with the university network infrastructure architecture and policies, this engineer will come up with models for storing and accessing this diverse data, both structured (e.g., quantitative) and unstructured (e.g., textual, image), so it can be efficiently traversed, queried and managed. With the help of system administrators, s/he will bring up the data stores and optimize them; and build any data transfers, via ETL/equivalent. Beyond that, this role will create or install an ever-richer set of data analysis and modeling tools, suitable for the needs of medical research. Noting that the goal is to make diverse and large-scale data available to
researchers smoothly and fast, this engineer will curate and optimize the access to this medical data.
We are looking for someone who can work comfortably in a faculty-driven environment, with diverse research interests and timetables. S/he would help convert research-directed data requests into real data access recommendations. We require someone who takes ownership of the problem, works flexibly and well with others, and enjoys an academic, somewhat