We are actively looking to grow our team. While ideal candidates have a background in both computational and experimental techniques, no particular background is required and we can help you get the cross-training you seek. We are are building a supportive, hard-working, and diverse (in terms of both personal backgrounds and scientific experience) team to address difficult questions with implications for both basic science and medical practice. In addition to the categories below, we are always on the lookout for ambitious potential team members from a clinical background, or staff scientists with relevant experience.
We are currently searching for a research associate to add to our team, to support a variety of projects. This role involves performs routine experimental and computational tasks (e.g. NGS library prep; data analysis comparing library prep methods; data management), some lab maintenance functions, and involves the opportunity to be involved in independent research. This role would be perfect for a recent college graduate looking for more experience before graduate school, but applicants from all backgrounds will be considered. To find out more and apply, click here.
We are currently seeking to hire a computational postdoc interested in using machine learning to develop a new variant caller for large microbial data sets. Learn more about the position here.
We are always on the look out for potential postdocs for applicant-initiated projects. These projects can be further developed along with Professor Lieberman, and might leverage our large collection of microbial isolates from healthy and diseased skin, their paired metagenomic samples, and/or or experimental platforms for high-throughput microbiology. Alternatively, a new project might focus on making skin bacteria more genetically tractable. Please indicate your research interests (does not need to be a specific project), attach a CV, and attach a manuscript (preprint is fine) when getting in touch.
We are open to hosting rotation students for students already enrolled at MIT, and we hope to add to our team this coming year (2021-22). Graduate students not currently enrolled in a PhD program should apply to one of the many relevant PhD programs at MIT, which include Computational and Systems Biology, Microbiology, and Health Sciences and Technology. We are also affiliated with Harvard’s Biophysics PhD program. Prospective students interested in MIT’s Civil and Environmental Engineering (Ecology and Evolution track) PhD program should contact me after submitting their application materials.
I do not interact with graduate students before the formal application process, out of a desire to impart more fairness to the system. In lieu of this, please accept these tips for applying to PhD programs: Recommendation letters and your personal statement are very important. For recommendation letters, pick the most credentialed individuals you know who can also speak in specifics about your accomplishments and potential. Start thinking about your personal statement early, and focus on what scientific concepts get you excited.
We have a variety of projects available for undergraduate research experiences at MIT, including experimental, computational, and combo experimental/computational projects. Favor will be given to applicants who are interested in spending multiple years in the lab, though we often have computational projects available for shorter time commitments. Please attach a CV and undergraduate transcript when getting in touch.