JOIN

We work on cutting-edge problems at the intersection of computation and medicine. We are interested in scientists with diverse backgrounds and training, who love building models and care about clinical impact. Interested applicants should read the information below and our application guide, and then email Brody.

We are currently looking to hire 1-2 postdoctoral fellows. Read the job post here, and if you are a good fit, please reach out to Brody.

If you don’t match the categories below but still think you are a good fit for the lab, please send an email with your CV and an explanation.

UNDERGRADUATES

We can offer research-for-credit projects for UW undergraduates. Interested students should have experience with programming in a data-analysis language (R, Python,etc.) and have taken at least one university-level statistics class. Applicants should follow instructions in the application guide above. Note that we do not take on high school students in any capacity, and cannot offer roles to non UW students.

GRADUATE STUDENTS

Currently enrolled masters/PhD students at UW interested in either a rotation or full-term project, or thesis committee membership should email Brody a CV and explanation of their research goals.

Most graduate programs at UW are not direct admit – meaning we cannot admit you to the lab if you are not already enrolled at UW. However, if you are an exceptional student whose background and interests are strongly aligned with our lab, please email Brody with your CV and a brief explanation of your research goals.

POSTDOCS & RESIDENTS

We are interested in postdocs with computational skills and experience with healthcare or biology applications. We also offer projects for UW residents who have at least some programming experience. Applicants should email Brody their CV, one relevant prior publication, and a brief description of their research goals.

EXPECTATIONS & PHILOSOPHY

A detailed overview of expectations and philosophy of our lab is given in the application guide. We believe in collaborative, open-science, and creating a supportive environment for all members. All members will have opportunity to shape the direction of their project, to learn new skills, and to set development goals that align with their future career interests. We aim to work hard and do good science, but to also ensure we have rich and rewarding lives outside of academia.