Statistical Programmer applicants have rated the interview process at Boehringer Ingelheim with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 65.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Statistical Programmer roles take an average of 40 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at Boehringer Ingelheim overall takes an average of 36 days.
Common stages of the interview process at Boehringer Ingelheim as a Statistical Programmer according to 6 Glassdoor interviews include:
Background check: 25%
Phone interview: 17%
One on one interview: 17%
Skills test: 17%
Group panel interview: 8%
Drug test: 8%
Personality test: 8%
Here are the most commonly searched roles for interview reports -
I interviewed at Boehringer Ingelheim (Ridgefield, CT)
Interview
Statistical programming Department is mostly Chinese it seems and I think they were trying to give preference to Chinese.. (Three associate directors interviewing me were Chinese - one of them listed as hiring manager ) .. at least that's how I felt. I answered everything and they did not inform me anything. I had to call them several times after a month to know the outcome. It looks like they were not sure what to do. Later on saw the job ads posted as "contracter" needed. Unprofessional . At least inform the candidate the outcome as soon as you can please !
First round, phone interview, robot. First they asked me to fill a form, asking basic background information and then telephone record with three questions. Phone interview only ask for simple behaviour questions.
I applied through a recruiter. The process took 3 weeks. I interviewed at Boehringer Ingelheim in Jun 2015
Interview
For a contract position. First need to finished about ten pre-interview screening questions which were all about SAS from base to advanced. Then gave a Skype interview opportunity. Interviewers are technically strong. Asked detail SAS questions.
Interview questions [1]
Question 1
What SAS syntax can be used to analyze categorical data ? what for survival data ?