BACKGROUND

Programming (e.g., Java) and or statistics (R)

RESPONSIBILITIES

We have an immediate opening for a post-doctoral fellow or Research Associate in the bioinformatics/data mining/algorithm development areas at the British Columbia Cancer Research Center.

Our group is focused on applying bioinformatics techniques to flow cytometry (FCM) data. FCM is a technique that is widely used within the biomedical community for cancer, diagnosis, treatment and research and treatment involving stem cells as well as HIV/AIDS. New high throughput methods can generate data consisting of millions of multiparametric descriptions of individual cells and only rudimentary bioinformatics tools exist to manage and mine high throughput FCM data.

We are leading an international effort to develop a systemic approach to modeling, capturing, analyzing and disseminating flow cytometry data. We are also testing our high throughput analysis methods to analyze flow cytometry data on datasets from the BC Cancer Agency and the BC Children's Hospital.

The candidate will conduct innovative research with investigators at the BC Cancer Research Center and our international collaborators aimed at developing automated FCM data analysis approaches.

Familiarity with data clustering and classification algorithms is an asset, but not required.

TERMS

2 years, renewable

LOCALE

Vancouver, Canada. Close to Whistler and Seattle. We will help with immigration for successful candidates.

HOW TO APPLY

Please forward a copy of your C.V./resume to Dr. Ryan Brinkman
(rbrinkman[at]bccrc.ca) including the names of three references. Within your email, briefly describe your general area of research interest, and a date (or range of dates) you are available to start on.
Individuals who are about to finish their graduate studies are also encouraged to apply. There is the possibility to start immediatly if desired.