Sr. Clinical Data Analyst / Scientist ( 3 years fixed term)
March 24, 2018
Stanford is upgrading its data environment to support large scale data mining and predictive analytics for betterment of human health. Our data engineers will integrate sources such as radiology imaging, pathology imaging, genomics, and real time location systems (IOT) with our clinical data warehouse. You will help us ensure the creation of coherent biomedical datasets that are Findable, Accessible, Interoperable, and Re-usable. You will be responsible for continuous evaluation of the health of the data and enterprise tools and for developing new analytical methods supporting novel research. You will be working with Stanford's Research IT software engineering team with dual reporting to the Director of Research IT as well as Prof Nigam Shah.
Ideal person for this position is a scientist with deep knowledge of clinical data, quality analysis and validation methodologies. You are a team player, an individual contributor, and demonstrate interpersonal skills needed to work collaboratively with technical and non-technical stakeholders faculty, researchers, clinicians, hospital administrators, engineering team, IT staff and research coordinators. You have strong verbal and written communication skills.
Develop processes to measure and ensure the integrity of research data assets
Report data quality issues to the engineering team to ensure high quality data
Work closely with the engineering team on data mapping, normalizing, and harmonizing additional clinical and operational data for the data lake. Assist with integration, and maintenance of controlled vocabularies and ontologies
Develop and publish proof-of-concept of new methods. Establish and refine the process for final analysis and validation. Contribute the methods back to the community (e.g. via the OHDSI collaborative). Author reports, white papers, scientific posters or peer reviewed articles that provide in-depth analysis of the underlying data to the broader scientific community
Develop data/metadata documentation, data model specification, and documentation of ontologies and terminologies as applied to the data
Stay abreast with best practices as well as cutting-edge data analysis methods from recent publications. Meet 3rd party solution developers, and industry partners to stay abreast of new tools, solutions and practices in the field and bring suitable ones in-house for testing
Internal Number: 301072
About Stanford University
Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions. Leland and Jane Stanford founded the University to "promote the public welfare by exercising an influence on behalf of humanity and civilization." Stanford opened its doors in 1891, and more than a century later, it remains dedicated to finding solutions to the great challenges of the day and to preparing students for leadership in a complex world. The University's thriving diverse community is comprised of nearly 7000 undergraduate students, 9000 graduate students, 2000 faculty members, 1900 postdoctoral scholars, and over 11,000 academic and administrative staff in seven schools including several interdisciplinary research centers and institutes. The campus spreads over 8000 contiguous acres and nearly all undergraduates live on campus. Stanford offers bachelor's and master's degrees in addition to doctoral degrees (PhD, MD, DMA and JD) plus a number of professional and continuing education programs and certifications. More at http://facts.stanford.edu and http://www.stanford.edu.
Stanford University is a...n equal opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of and applications from women, members of minority groups, protected veterans and individuals with disabilities, as well as from others who would bring additional dimensions to the university’s research, teaching and clinical missions.