761 data "https:" "https:" "https:" "https:" "Stanford University" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
conduct annual utilization reviews and present data-informed recommendations. Cross-CADM Initiatives (“One CADM”): Serve as operational lead for select cross-functional initiatives. Translate strategic
-
flexible measurement tools and will use advanced knowledge of quantitative research methodologies and data science techniques to manage, extrapolate, and analyze research data. The ideal candidate has a
-
collaborative and international environment. Special Instructions Contact Information For further information, please contact petros@seas.harvard.edu . Contact Email lreck@seas.harvard.edu Salary Range $67,600
-
trial and observational study review, design and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing
-
for the following tasks: Data collection and analysis: Collection and organization of quantitative data, cleaning and merging of datasets, design and production of tables and figures, and literature reviews. Writing
-
integrity. Identify errors and glitches and address accordingly. Coordinate new title setup with key stakeholders. Input and update data in select Biblio modules to ensure accuracy. Onix Feed and Cover
-
. Additional Qualifications Special Instructions Letters of recommendation are required at the time of application. Candidates should submit with their application contact information for two to three references
-
of application. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from
-
. For more information, visit our lab website at janetsonglab.com. Basic Qualifications PhD in a relevant field, or have completed all requirements for the PhD by the anticipated start date. Additional
-
of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of