-
Description
-
As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.
-
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
-
Everlight Solar is seeking a skilled Data Analyst who will design and maintain functional programs and applications, producing fully functional software applications according to requirements. As a Data Analyst, you play a key role in serving our clients and team members. This will be a full-time, work-from-home \"remote\" position.
-
The Data Analyst will primarily be responsible for data management, quality control, and statistical analysis of data from Pregnancy Study Online (PRESTO) in the Department of Epidemiology at the Boston University School of Public Health. Additional responsibilities will include analysis documentation and manuscript preparation. The Data Analyst will primarily use SAS statistical software to perform analyses. The Data Analyst be critical to ensuring the timely presentation and publication of results from the PRESTO cohort.
-
Data Analyst
-
The Department of Environmental Health at the Boston University School of Public Health (BUSPH) has a long history and national reputation of interdisciplinary research to address the health effects of environmental exposures. We are currently seeking candidates to fill a Research Data Analyst position. This candidate will work with a robust team of research assistants, project managers, research scientists and faculty working on multiple environmental health projects. We are seeking candidates with experience and training in statistical software such as R and experience with environmental health topics, biostatistical analyses, data visualization, and data presentation.