Boston Strategic Partners, Inc. has an immediate opening for a full-time, SAS Data Scientist to join our healthcare analytics team to assist with research using Electronic Health Records (EHR) data.
Applicants must have previous experience analyzing data from large databases using SAS (SAS macro expertise strongly preferred). Successful candidates must hold a graduate degree in a quantitative field such as statistics, biostatistics, economics, math, epidemiology, or physics. We are looking for well-rounded professionals who will not only use SAS as a tool to study the immediate data but who will also be able to provide analytic insights at all stages of the research project.
Candidate must be motivated to work in a fast-paced work environment and comfortable working either independently or within a small team utilizing teleconference or virtual enabling technologies. We require all of our consultants to have great written and verbal communication skills. This is a remote/telecommute position so relocation is not necessary, East Coast candidates preferred, but not required.
About Boston Strategic Partners, Inc.
Founded in 2003, Boston Strategic Partners, Inc. is a thriving healthcare consulting firm with a team of experienced professionals comprised of PhDs, MDs, and MBAs. We are fluent in the language of science, the language of patient care, and the language of business. Our clients range from Fortune 500 companies to mid-sized organizations to start-ups, venture capital and private equity firms, to government agencies. We serve all life science sectors including pharmaceuticals, biotech, medical devices, clinical diagnostics, and bioinformatics in in in five practice areas: Business & Clinical Strategy, Health Economics & Outcomes Research, Medical & Technical Communications, Regulatory Strategy and Financial Advisory.
How to Apply
To apply for this job please email your resume and your cover letter to email@example.com. In your cover letter, please provide a brief example of your past experience analyzing complex data sets. In addition, please provide an example of your SAS code from a previous project and be prepared to present the methodology and the insights of that analysis. Incomplete submissions will not be accepted.
The successful candidate will be required to sign non-compete and non-disclosure agreements as part of the work contract.