Contact
We are glad to hear from prospective postdocs and technicians, from groups looking for a computational collaborator, and from anyone trying to use the data or code behind our papers. Everything comes to the same address.
We are recruiting postdoctoral researchers and research technicians. The open positions section on the People page describes who we are looking for, what the work actually involves and how we run the lab. Read that first, then write.
Send a CV and a short note about what you want to work on. Specific beats generic. A paragraph on one of our papers, what you think it got right and what you would do differently, tells us far more than a cover letter that could have been sent to fifty labs. If you have code you are proud of, link to it.
Graduate students at Weill Cornell who want to rotate should email before the rotation period opens so we can agree on a project that is finishable in the time available. We also take a small number of undergraduate and masters students each year when there is a defined project and someone with time to supervise it.
Most of our work is joint work with experimental groups, and we are open to more of it. The collaborations that go well tend to start before the sequencing does, when the design, the number of replicates and the comparison being made are still open questions. The ones that go badly tend to arrive as a finished dataset with a deadline attached.
If you are planning a single-cell, multiome, spatial or bulk experiment and want a second opinion on the design, email a short description of the biological question, the samples you expect to have and the timeline. We will tell you honestly whether we are the right lab for it. Our current research themes and the groups we already work with are on the People page.
Datasets accompanying our publications are deposited in public repositories, and accession numbers are given in the relevant paper. The Data section lists the accessions we have released so far. Analysis code and the tools we maintain are on GitHub and described on the Software page.
If you cannot locate the data for a published study, or a processed object would save you a week of reprocessing, email and we will point you to it or send it. The same goes for a figure you are trying to reproduce and cannot. We would rather hear about it than not.
Email is the reliable route. Put what you want in the subject line, since enquiries about positions, collaborations and data are handled differently. We read everything that arrives and reply to anything that is a plausible fit, though not always quickly during grant and teaching periods. If something is time critical, say so.