j********t
发帖数: 201 | 1 I recently sent some resumes to hiring managers in the pharmaceutical
companies. The results of some interviews are very shocking. New graduates
from this forum like to ask for interview tricks; yet, some of them might
forget to master the basic concepts.
Therefore, I would like to give some very straightforward advice: focus on
the basics!
It is true that pharmaceutical companies like to hire experiences
biostatisticians and SAS programmers and their requirements of 5 years
experiences usually scare many people away. However, they hire new
graduates all the time and you need to get ready for an interview.
You may still want to collect some interview questions or some tricks. Yet,
the most important thing you need to do is to review what you learnt at
school: the basic concepts.
Here are list of courses you might have taken and the time you might want to
spend for your review:
1) Probability theory: little time. Many people who interview you might
forget everything they learnt themselves.
2) Inferences: some as above.
3) Experiment Design: try to describe basic types of design and the models
for these designs.
4) Applied statistics: try to be able to explain some basic concepts in your
own languages (don't recite definitions from text books): p value, CI,
ANOVA, ANOVA, etc. Understand the data structure each model requires, be
familiar with SAS procedures to be used (don't worry about R since for now).
5) Survival Analysis - some stat department might not have this course. In
this case, try to read one book by yourself and master the basic concepts.
Know how KM, Cox Model, log rank test, know the data structure, know how to
explain HR and its CI.
6) Categorical Analysis: Know FISHER exact, CHI Squres test, CMH, of course,
the data structures.
7) Adaptive Design (optional): if you have a Ph.D in stat and want to be
biostatistician, read one book on Adaptive Design and you will beat those
who have no ideas.
8) Bayesian statistics (optional): same as above.
Hope this quick summary can help a little bit.
Yet, the main message is this: get to the basics, don't try short cut! | l**********g
发帖数: 6 | | h******s
发帖数: 3420 | 3 这些已经不basic 了。
很难相信没有实际工作经验的人会真的understand 这些analysis. 好多工作几年的都
一知半解甚至理解错误。
Anyway, 我觉得没有phd 还是不要走 biostatistician。 | j********t
发帖数: 201 | 4 I kinda agree with you that on this. If you really want to be a
biostatistician, you should get a Ph.D in statistics, to be really
successful in your career. If you don't want to work on a Ph.D, you might
just find a SAS programmer position. I refer to pharmaceutical companies.
You might still do well in other industries to have a MS and a statistician.
if you want to discuss more, you can join a group discussion in some weekend
by taking my wechat id:
johnuseast | D**P
发帖数: 223 | 5 对一些理论基础扎实 research做得好的 确实可以用技术来获得职位。
对大多数人来说 学校里学的是一部分 业界用的又经常是很偏应用的一块
想办法展示你的passion 让对方觉得你trainable
我觉得多半就可以了 | j********t
发帖数: 201 | 6 It is true that passion attracts people.
However, the professionals still prefer to hire those with solid foundation.
If a stat graduate cannot explain well what p value is, he/she might have
trouble getting hired no matter how passionate he/she is. | K******c
发帖数: 619 | |
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