[Remote] Summer Intern - Clinical Data Sciences (M.S.)

Note: The job is a remote job and is open to candidates in USA. Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Biostatistics and Data Science department located at our Ridgefield facility. As an intern, you will work alongside a Clinical Data Scientist on projects such as clinical trial data analysis, designing data visualization tools, and/or big data processing utilizing statistical programming languages such as SAS/R.

Responsibilities

• Develop, review, validate SAS or R programs to generate analysis datasets, tables, figures, and listings to support trial or project data analysis
• Follow Good Programming Practices with documentation when developing programs
• Understand and Follow company SOPs and How to Guides where applicable
• Support the review of analysis dataset specifications based on Case report form, Statistical analysis plan, and display template, in accordance with industry standards (CDISC)
• Develop interactive web-based data driven applications deployed through the Rshiny
• Present your project/assignments work at the end of the program

Skills

• Must be an Undergraduate, Graduate, or Professional Student in good academic standing
• Must have completed 12 credit hours within a related major and/or other related coursework
• Overall, cumulative GPA (from last completed quarter) must be at least 3.000 (on 4.0 scale) or better (No rounding up)
• Major must be related to the field of internship
• Must be legally authorized to work in the United States without restriction
• Must be willing to take a drug test and post-offer physical (if required)
• Must be 18 years of age or older
• This position will require individuals to be fully vaccinated against COVID-19 or have an approved medical or religious accommodation
• Must be a Master of Science graduate student in fields related to Bio/statistics, Computer Science (software programming language focused), Data Science, or a related degree program
• Demonstrated proficiency using SAS, R and/or Python
• Good written and oral communications skills in the English language

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