[心得] Genetics and Stat/Biostat 選校與感想
雖然我早已經不做統計了,現在做genetics and genomics做的比以前開心太多
但是在這個申請的季節,收到許多詢問選校的信,還有就是我在不同領域走過的過程
以及看到以前Hopkins畢業PhD and MS的同窗的朋友這幾年的遭遇
想說跟有志在這相關領域走踏的朋友分享一些我的感想
先說一下我當年申請的結果比較有一個比較基準,當年都是申請Ph.D. program
我有拿到UNC Biostatistics GRA(tuition waive plus RA position, stipend ~17k/yr)
後來在Cornell Tri-I Computational Biology and Medicine and WashU DBBS中抉擇
後來選擇了WashU,基本上我的領域偏向 computational biology, molecular genetics
and statistical genetics,但是在這個哪裡有錢往哪走的時代,其實太多統計學家開始做
sequencing (RNA-seq, DNA-seq, Epigenome) data analysis and statistcal genetics
我也會概略討論一下
1. Biostat/Stat PhD的學生如何選校? 先選有獎學金的,再來選擇學校的好壞
精華區有我以前的文章,裡面有提及生統學校的rank,可以提供參考
請千萬一定要把獎學金放在最重要的地位,有錢才去
不然PhD student的生活已經夠苦了,還要繳學費跟生活費那你可能會把自己逼死唷
2. Biostat/Stat MS的學生如何選校? 選個經濟實惠然後有教SAS的學校
如果是我,我會選一個便宜的學校,有提供些許獎學金的學校
如UNC, NCSU, TAMU, UC Davis, U Wisconsin-Madison, UMich 比較便宜又實惠的好學校
生活費便宜的學校,畢竟只是MS,實在沒有必要去選一個好的,貴的(Hopkins, Harvard)
再給我選一次,我會選便宜的州立學校,然後生活費便宜
其實把握幾個MS選校原則
1. 有教SAS, Advanced SAS
2. program duration (如果是一年半就可畢業又不用寫thesis就很棒)
3. 便宜
MS畢業不是只會在一個地方找工作,所以學校的地點個人覺得不是很重要
我們一大推Hopkins Biostat ScM畢業生在全國各地找工作也沒啥問題壓
HR看那麼多CV不是看假的,重點是有沒有以下幾個字:SAS SAS SAS
想進藥廠,就只有SAS就夠了,想去研究機構, SAS, R, or STATA 加上妳mentor好的推薦信
就夠了,因為Biostat/Stat MS 就只是工具人(真的!就是那麼可悲)
但是如果你以後就打算這樣下去,其實生活也很爽,程式寫熟了,一下活就幹完了
爽爽過,錢照領, PI也不會找你麻煩,畢竟你還是沒辦法那麼簡單取代
但是你就只是工具人,可有可無, 所以想要有前途,請以PhD為目標
但是之後要申請PhD的話,那以上都沒有用,去修好數學課再來吧
(Real Analysis, Complex Analysis, Functional Analysis)
3. ahot妳為啥要換領域? (以下是個人意見)
個人覺得統計是很好的科目,好找工作,任何領域都需要統計,講真的,拿 NIH Grant壓力也
沒那麼大,在WashU School of Medicine, 妳想要從 Assistant Prof. to Associate Prof.
要求要有兩個R01 (negotiable),在現在這年頭是多困難的事情壓,對於想要有生活品質還
有安逸的生活的人,statistician是很好的職業,以下是我自己換領域的理由
1. 如果你想要在stat/biostat找tenure track教職,你不是大師學生或是名校畢業的,
幾乎絕緣了,畢竟統計科學領域比biomedical science小非常多,就那麼小
2. Not Scientific. Geneticists/Biologists 跟 statisticians的想法是不一樣的
統計很重要,但是很多生物及醫學的知識不是統計科學可以理解的,即便我覺得統計還是很
重要.想要發好paper,prediction is far from enough.George Church說過 "Why not
get your hands wet?" 他的學生及postdoc幾乎都可以拿pippet做實驗,等到有了data又
可以跑分析, simulation,再回到model system to validate,個人覺得一個好科學家就該
如此,懂biology,懂how to analyze your data,更重要是要與人合作
4. What's human genetics? Good program?
Genetics 太廣了,我在這只討論human genetics
human genetics通常需要運用computational/statistical methods to find targets
and then conduct functional studies to validate 所以需要跨領域的人才
如果你有biology and computer/math science double major,那就來吧等啥哩
這幾年sequencing technology越來越便宜,personal medicine的時代已經不是空談
human genetics需要的就是你這種人
通常human genetics 沒有MS program (clinical genetics MS 例外)
最好的幾個program如以下
Harvard (Program in Genetics and Genomics)
U of Washington in Seattle (Genome Sciences)
U of Chicago (Human Genetics)
Stanford (Genetics, Biomedical Informatics)
Johns Hopkins U (Human Genetics)
MIT (Computational and Systems Biology)
Washington University in St. Louis (Molecular Genetics and Gebomics, Human
and Statistical Genetics and Computational and System Biology)
Cornell Tri-I (Computational Biology and Medicine)
UCSF (Computational and Systems Biology)
Yale (Computational Biology and Bioinformatics)
UPenn (Genomics and Computational Biology)
Princeton (Quantitative and Computational Biology)
以後有機會再補充吧
5. 甚麼人才會成功? 不滿足,不放棄,懂自己缺甚麼就去補甚麼的人有可能成功
我實在沒啥資格說這些話因為我離成功還很遠
但是我覺得每個人是獨一無二的,不可能由別人告訴你如何成功
會成功的人知道自己需要甚麼,不滿足現狀
很多人到了選校的季節就開始問這個學校排名怎樣壓?地點好不好找工作壓?好不好讀壓?
我只能說"人"是最重要的因素,會問以上這些問題的其實要好好問問自己自己缺乏甚麼?
你有沒有成功的特質?妳想要追求的是甚麼?
問題雖然都一樣,但答案因人而異
個人覺得成功的要件太難列舉,但是
1.請積極,不滿足,追求更好
2.生活不要都是事業,家庭.生活還有朋友的關係都是成功的要件,需要經營
3.自我了解 (這是我認為西方教育跟東方教育差最多的)
4.努力
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◆ From: 108.216.81.224
※ 編輯: ahot 來自: 108.216.81.224 (03/31 03:46)
※ 編輯: ahot 來自: 108.216.81.224 (03/31 03:55)
※ 編輯: ahot 來自: 108.216.81.224 (03/31 03:57)
※ 編輯: ahot 來自: 108.216.81.224 (03/31 04:01)
※ 編輯: ahot 來自: 108.216.81.224 (03/31 04:02)
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