BioCT Innovation Commons
Clinical Data Science - Statistics Co-Op MS
BioCT Innovation Commons, Hartford, Connecticut, United States
Overview
Boehringer Ingelheim is currently seeking a talented and innovative Co-Op candidate to join our Biostatistics and Data Sciences department located at our Ridgefield facility. As a Co-Op, 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. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the company7s success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Responsibilities
Develop, review, validate SAS 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
Requirements
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
Eligibility Requirements :
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
Desired Skills, Experience and Abilities
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 or R
Good written and oral communications skills in the English language
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Boehringer Ingelheim is currently seeking a talented and innovative Co-Op candidate to join our Biostatistics and Data Sciences department located at our Ridgefield facility. As a Co-Op, 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. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the company7s success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Responsibilities
Develop, review, validate SAS 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
Requirements
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
Eligibility Requirements :
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
Desired Skills, Experience and Abilities
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 or R
Good written and oral communications skills in the English language
#J-18808-Ljbffr