•1 min read•from Data Science
Public health academia to industry
Just some general advice if I’m thinking about this the right way. I’ve been working in academia for about 4 years with publications in places like JAMA open doing standard biostatistics/ML for cancer and opioid use disorders and some new publications using casual inference techniques (doubly robust methods) in mental health.
I have been trying to transition back (interned a tech company and few times 5 years ago) to a data science role in an industry setting (preferably health care or marketing) but haven’t had much luck.
I have been study my SQL and test style probability questions. Is there anything else I should be doing? Thank you all!
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Tagged with
#Public Health
#Academia
#Industry
#Data Science
#Biostatistics
#Machine Learning (ML)
#Cancer
#Opioid Use Disorders
#Mental Health
#Causal Inference
#Doubly Robust Methods
#SQL
#Probability
#Healthcare
#Marketing
#JAMA Open
#Transition
#Data Analysis
#Statistical Modeling
#Tech Company