What does SAS have in common with Red Hat? They are pretty good places to work at. http://bit.ly/9GEvsD

Comments

Post a Comment

Popular posts from this blog

SASGF12 Opening Session with Jim Goodnight starting a technical demo ... nice :) Here is a video of it: http://ping.fm/sn6dY
Read more

How to Get a Job as a SAS Programmer

Image
There are many career considerations in becoming a Clinical Analyst or SAS Programmer that is analogous to getting married. Before you make such a commitment, you like to learn and see if you are compatible and if this is a good fit. If you are already in a “marriage”, or a SAS programmer, there are some efforts that are required to maintain and keep up the health of the relationship. The current employment environment for SAS programmers poses many challenges. If you do not continuously learn and adapt to the dynamic environment, you will find your job outsourced or your skill set irrelevant. There are several forces that you need to be aware of which this chapter will expand upon to provide strategies for you to become successful. For example, there are new regulatory changes such as data standards from CDISC that requires thorough understanding and experience with implementation. Software enhancements with new releases of SAS and additional technologies such as operat
Read more

Clinical Trials Terminology for SAS Programmers

Image
Introduction The drug development process is a clinical process that has its own language. It is not required that SAS programmers function as a MD or a regulatory expert, but working knowledge of the terminology is important to be effective. This section will walk through the drug development process from discovery to Phase IV. It will explain a wide range of acronyms such as IND, NDA , GCP and MedDRA . It will also describe some of the terminologies used within the process of clinical trials as a drug is developed and submitted to the FDA . This will give SAS programmers a larger perspective and context to their work during the analysis and reporting of clinical trials data. This section will tell a fictitious story about a college graduate named James who is starting a new position at a pharmaceutical company. Each new term James encounters is presented in bold and italicized for emphasis. As he enters a new professional world, he meets many people and learns new processes that
Read more