Degrees in biostatistics or related field with good score is a basic need. Knowledge and experience in statistics frequently applied in area of clinical trials such as sample size calculation, type I and type II error, treatment contrasts, determining baseline, handling of dropouts, dose proportionality, bioequivalence, fixed, random and mixed effects model, testing of proportions, estimation of confidence intervals, etc. will increase chances of success in endeavor. SAS software documents contains details of calculations of statistical parameters in great depth. By using appropriate ODS options in SAS code of statistical procedures, results are output into SAS data sets for further manipulation and display in fancy tables, listings or graphs. Good understanding of SAS code of statistical procedure is really important. Huge amount of information on SAS code for variety of statistical analysis is available on internet in articles published and presented at PharmaSUG, ASA, and other similar organizations. We strongly recommend familiarity with ICH and FDA guidelines relevant to assigned projects.

Instead of depending on trainers and course instructors, you should create an exhaustive check-list of areas demanded in job description of your target positions to develop and strengthen your skill set. NEVER list any skills in your resume that you are not aware of, and do not allow recruiters to doctrine of your resume.

In your first job or a senior position wherever it is, acquaint yourself with previous or ongoing studies. It will help in your faster start up on the assigned project. You should strictly adhere to the standards and working procedures of the company.