Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Analytics who will oversee and manage space data analytics and reporting for the School of Medicine (SoM). The Manager, Space Data and Analytics will serve as the primary contact and subject matter expert
-
): Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Ability to prioritize workload. PHYSICAL REQUIREMENTS*: Sitting in place at computer for long periods of time
-
aspect of the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits
-
package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees
-
of analytical projects from conception through to completion. The primary focus of this role is the aggregation, annotation, and analysis of cancer genomics/functional genomics data, with emphasis on pediatric
-
information to internal and external audiences, client groups, and all levels of management. Strong analytical skills to review and analyze complex financial information. Strong leadership and strategic
-
at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards
-
promoting anti-racism and equity through its policies, programs, and practices at all levels. ~ Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Department URL: http
-
aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and
-
analytic techniques and approaches to healthcare claims data, like Medicaid data. * Learn from and collaborate with renowned data science and health experts across Stanford on interesting complex projects