heuristicSystems Posted February 1, 2019 Share Posted February 1, 2019 Hello! I’m getting around to applying for programs next year. I have a degree in biology, and some coursework in computer science (5 courses) and bioinformatics (2 courses) and math (calc&difeq, linear, stats). I have a good gpa (3.97) and have some research experience (4 years on-and-off in the same lab—starting with wet-lab genetics stuff, ending with a thesis where I used R to do a bunch of error propagation analyses related to some protein dynamic stuff, a year in industry half bioinfo analyst half immunology tech, and a few months of full time sysbio academic tech work). And lots of poster presentations, but no publications. I’m at a lesser-known R1 school But I’m super worried about admissions, being in the more-niche space of wanting to do some sort of quant biology. I feel well-qualified for biology programs, but i don’t really want to do much wet lab work in the future. Biostatistics would be awesome, but I’m not super qualified (I’ve never taken analysis or even a proper multi variable). Same with a lot of the more math-focused bioinfo programs Im thinking if focusing my applications to sysbio and bioinformatics programs? Should i still apply to pure bio programs? Do y’all have any suggestions? Link to comment Share on other sites More sharing options...
alltheclusters Posted February 1, 2019 Share Posted February 1, 2019 I'm in a similar position as you are - in undergrad, I majored in biology and minored in computer science, with some coursework in math and statistics as well. I had ~3 years in a developmental bio lab doing benchwork in undergrad, and currently wrapping up my 2-year master's program where I do purely computational stuff in R/Python. I applied to mostly umbrella bio programs (system/quantitative bio track where applicable) and some pure sysbio programs this round. As of now I have received offers for basically all the umbrella bio programs and rejections for all the sysbio/computational bio programs I applied to. When I talked to the program director of the sysbio track in one of the umbrella programs I applied to (he happened to run the computational bio program at the same school, which I was rejected from), he said that the focuses of the programs are different: the sysbio track in pure bio programs look for people interested in using quantitative tools to solve biological problems, while the computational bio/bioinformatics programs look for people interested in developing those tools. Since my research interests obviously lean more to the first side (plus my limited programming/math skills compared to people with degrees in CS/math/stats/engineering), I'm not a good candidate for pure computational programs. Since your background and interest seem similar to mine, and if you're still thinking of doing more biology than method development for your PhD, I think you would be better off applying for umbrella bio programs with quantitative or computational tracks (e.g. Yale BQBS, Weill Cornell PBSB) instead of biostats/comp bio programs. Being in umbrella bio programs doesn't mean you'll have to do wet lab work - there are usually computational labs that don't do any benchwork in these programs so you wouldn't ever have to touch a pipette again if that's not your thing. Link to comment Share on other sites More sharing options...
heuristicSystems Posted February 1, 2019 Author Share Posted February 1, 2019 (edited) 2 hours ago, thinhtran said: [...] he said that the focuses of the programs are different: the sysbio track in pure bio programs look for people interested in using quantitative tools to solve biological problems, while the computational bio/bioinformatics programs look for people interested in developing those tools [...] 1 This is really useful, thanks for passing this along! At a very minimum, this will make me tailor my applications to bioinformatics programs to be more tool-focused. Great to know that I should be able to find a good fit in an umbrella program. Edited February 1, 2019 by heuristicSystems Link to comment Share on other sites More sharing options...
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