Subscribe to DSC Newsletter

I have a Bachelor of Science with a specialization in Statistics. What technical skills can i learn to make my job candidacy more appealing to companies that search for people with my backround? i am very interested in a career in the pharma/health industry, but would consider applying to any other field.

Views: 103

Replies are closed for this discussion.

Replies to This Discussion

1) SAS certification!
2) Graduate School (PhD).
3) More SAS certification!
There's a link at the bottom of the Bridge Main page:

There's a # of interesting links from there for you to follow, including
- SAS careers in healthcare:
- SAS in pharma:

As well as SAS certification.

BTW, if you want to be a more of a 'statistician' rather than primarily a SAS programmer, then you should seriously consider grad school.
I've been consulting in statistics for five years. I've learned alot of advanced methods. Oddly enough some of the simple courses have been the most valuable in terms of consulting projects. In rank order with $ being the criteria:
Generalized Linear Models
Experimental Design
Plots and Graphs and Tables(some projects are entirely plots and tables!)

Coming in close behind...multivariate metnhods(clustering)

Clients are usually fascinated by advanced methods and sometimes intimidated. Bayesian statistics is immensely valuable yet sometimes intimidates people. I love time series but I never get a call for it. I can do MCMC but clients dont know what it is so they dont ask.

So if I were you I would take a course in sampling if you dont have it, followed by generalized linear models, make sure you can do the bootstrap. After that round off the edges with some Bayesian statistics, just for fun. Sometimes the people hiring you are themselves statisticians. Some places have certain softwares in place and hire people with those skils. So try to know how to use two or three different packages ie SAS, R etc


First off, pick your industry and level. If your are planning on going into pharma or any kind of research, Ph.D.'s rule. If you want to go into other areas, a Ph.D. isn't so necessary. However, a MS in stats is pretty much required.

If you don't want formal degrees then you are looking at data work and not so much stat work. Either learn SAS and preferably get certification in it, or get really good at SQL. R may be another good option.


On Data Science Central

© 2020 is a subsidiary and dedicated channel of Data Science Central LLC   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service