Data Science, Statistical Programming Intern

Key Skills

Bayesian networks, Cloud computing, Data Analytics, Data Classification, Data science techniques, Data Visualization, Databricks, Deep Learning, Intellectually curious, creative, and diligent, Machine learning techniques, Predictive Modeling, Python Programming, SAS, Statistical modeling

Job Description

Responsibilities

Intern will work closely with Sage statistical programmer(s) to:

• Perform review of clinical trial data and documents.
• Create SAS programs/macros to increase programming efficiencies
• Create SAS programs to aid in review of clinical data
• Create Python programs to generate statistical graphs or tools.
• Participate in team/dept meetings to observe as well as present their work/learning
• Gain understanding of drug development process while being exposed to various different functions within and outside of Data Science.

Qualifications

• SAS programming knowledge/experience
• Python programming knowledge/experience
• Strong analytical, problem-solving, and oral and written communication skills
• Detail oriented and organized
• Ability to work well in teams, and present ideas clearly and concisely.
• Embrace our core values: Put People First, Improve Lives, Cultivate Curiosity, Do Right, Forge New Pathways
• Excitement about the vision and mission of Sage

All Sage new hires will be required to provide documentation that they are fully vaccinated against COVID-19 or, if not, that they are legally entitled to an accommodation due to a medical condition or a sincerely held religious belief. Requests for accommodation will be considered on a case-by-case basis, and Sage will consider, among other things, whether the proposed accommodation would create an undue hardship.

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.