Company: Biogen Idec Industry: Biotechnology / Pharma Country: United States State/Province: Massachusetts City: Cambridge Post Date: 04/25/2019 09:02 AM The successful applicant will be responsible for acquiring and formatting data from internal and external sources, will build and optimize pharmacokinetic models, and will be responsible for coding and running computer simulations. During their tenure as an intern, they will develop familiarity with the modeling process, and the role modeling plays in the drug development process. Key Responsibilities: \tCurating data from available in-house sources. \tDigitizing data from external sources and publications \tBuilding and optimizing pharmacokinetic models. \tRunning computer simulations \tWriting scripts to format data for modeling. Requisition Number 37172BR Employment Category Full-Time Regular External Posting Title Intern: CSF-ISF Platform Development Job Category Interns & Co-ops Qualifications To participate in the Biogen Intern Program, students must meet the following eligibility criteria: \tLegal authorization to work in the U.S. \tEnrollment in a full-time undergraduate or graduate program, returning to the academic program following Biogen intern or Co-op assignment \tMinimum grade point average of 3.2 (preferred) \tAt least 18 years of age prior to the scheduled start date \tCompleted at least one year of undergraduate studies \tFamiliarity with R programming language \tGood communication and writing skills. \tAdvanced skill in Microsoft Excel, PowerPoint and Word \tMust have high level of technical and computer programming proficiency. Education \tUndergraduate or graduate student \tDesired majors include: Computer Science, Data Sciences, Biology, Agriculture Experience Level Internship or Co-op Summary This is a full-time intern role from June - August 2019 based in Cambridge, MA. We are seeking a student skilled in computer programming, informatics, and data management and entry. The candidate will be responsible for assembling and collating large datasets from different sources, building and optimizing pharmacokinetic models, and running simulations based upon those models.