Who_makes_the_grass_green

Thank-you for your thoughts blc! I completely agree that I need to teach myself a lot of the basics and ideally get experience working in the field to leverage my applications. Do you think a low-level job in CS would constitute enough signalling and experience to help me get into a CS course? How are you finding biomedical science at Harvard by the way? I'm investigating opportunities to do unpaid research assistance at a large biomedical science research research facility here in Australia while I work casual shifts as a doctor. The lab head previously worked in the statistics department at Berkeley. I have a friend (also a doctor) who pivoted during his bioinformatics degree to take electives in machine learning, and ended up making it into more of a quant masters degree. He's just finished, so I'm not sure yet how successful he's been at bridging the gap to get jobs in biotech, but it looks promising.

Hi Guys, It’s so inspiring to hear everyone’s stories. Good luck to everyone! I wanted to introduce myself to see if anyone is making a similar journey, or has any opinions. I’m a 25 year old medical doctor from Australia, and just finished my internship 4 months ago. I’m planning to apply to Masters of Science / professional masters programs this year for 2017 mid-year entry. I’m considering bioinformatics / computational biology, or computational neuroscience, or some field in computer science. Since high school, I’ve done a Bachelor of Science degree (3 years, accelerated into 2) majoring in Biomedical Science, and a post-grad Medical Degree (MBBS) (4 years), both from a University in the top 50-100 globally. I’ve finished my internship and received general registration in Australia. The Dream: I’ve decided I want to become a data scientist and work somewhere in biotech / med-tech / genomics / machine learning. I’m inspired by Google's DeepMind, and their work with Atari games and AlphaGo - designing incredibly sophisticated AI algorithms. I think this heralds an era of disruption by AI of many professional industries that depend on thinking skills. I’m also inspired by Craig Venter’s work creating synthetic genomes for viruses and bacteria (the ‘first synthetic life’) and I’m excited about the promise of using synthetic bacteria to process pollution, create cleaner fuels and sequester carbon. I think the two fields - artificial intelligence and synthetic life, will redefine the human condition within our lifetimes. And I think the key nexus of them is data science. I would love to build a career in this area, and work in tech startups in the bay area in San Francisco. The Reality: I currently have no research experience, minimal stats / data science and minimal computer science understanding (and no tertiary study in the area). My Plan: This year I’m working as a doctor about 30 hours per week and: 1) doing a bunch of courses in coding, machine learning, and data science 2) saving money to pay for the masters 3) get some experience in research in biomedical science I’d love to hear any thoughts on the following: Is a Computer Science MS realistic? I’m more interested in AI than biotech. Would I be a realistic candidate for top CS schools, with no tertiary experience in CS? I had strong marks in high school advanced maths and physics, but I’ve spent 7 years studying and working in biology and med. I can do 10-20 hours per week to up-skill in this area (roughly 6-7 months before applications are due and 16 months before the 2017 class would start) How much scope is there for CS electives in bioinformatics? I figured bioinformatics may be a realistic way to sneak into CS courses (like AI and robotics). Converting GPA: My GPA in science is 6.0 and my medical degree, 5.46 (both out of 7). 6 is a distinction average, and 5 is a credit average. I haven’t been able to work out how my GPA converts to the US though. What schools should I aim for in CS and bioinformatics? My list after limited research looks like this: Stanford UC Berkeley MIT Carnegie Melon Caltech Johns Hopkins Cold Spring Harbour Harvard Georgia Tech Oxford Cambridge Princeton Imperial College London UCLA UCSD Then a bunch of others in the top 50-100 Again, best of luck to everyone! If you’d like to discuss anything further, please reply here or PM me!