StatLab


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Reserve the classrooms


Schedule for 04/05/2012


Stat Consultants
CSSSI (219 Prospect St)
To see the Consultant's schedule, please see our calendar on the CSSSI website.
To see the room schedule for the CSSSI Classroom, please see our calendar on the schedule.yale.edu website.
To see the room schedule for the CSSSI Rosenkranz, please see our calendar on the schedule.yale.edu website.

The CSSSI is currently hiring graduate student data consultants.

DEADLINE FOR APPLICATIONS IS THURSDAY, 5/29/2014.

We are looking for data savvy graduate students from a variety of disciplines including the sciences, social sciences, FES, EPH, SOM and Computer Science. We are always interested in talking to outstanding applicants from other disciplines as well.

CSSSI Data Consultants use a question-and-answer mode to help students and researchers with questions pertaining to data analysis and statistics. Our consultants work at least one 4 hour shift a week and a few weekend shifts each semester. Additional shifts may be available, depending on coverage needs. Current starting pay is $25 an hour.

We try to provide a balanced service across disciplines and software packages. Currently, we are particularly interested in applicants with experience with GIS, Matlab, Mathematica, SPSS, SAS, JMP, Amos and data visualization.

The CSSSI runs a series of workshops each semester training Yale affiliates in various statistical software packages and related statistical and computing issues. We pay consultants for the preparation, instruction and attendance for all of our workshops. Additionally, specialized training opportunities are also available.

Our consultants consistently tell us that answering data analysis questions and problem solving with our clients helps them retain and sharpen their own analytical skills. The experience of dealing with researchers from other disciplines is interesting and can lead to collaborative opportunities with professors. CSSSI Consultants are often offered co-authorship on papers and consulting experience is sought after by prospective employers.

If this job description interests you, apply by email to stathelp@yale.edu. Please include an up-to date CV highlighting any experiences and training that would make you a good candidate, including any experience as TA/RA.

If you know someone who might be interested in this opportunity, or who could pass the word to interested others, please forward this announcement to them.

Thank you,
Sherlock Campbell
Senior Statistical Consultant
CSSSI