Full-Time Research Associate – Bioinformatician
The Jones Lab at the Rosalind and Morris Goodman Cancer Research Centre (GCRC) at McGill University is currently seeking an outstanding scientist to fill a Research Associate position in Bioinformatics of Cancer Metabolism and Immunology. The position will be supporting three lab groups, thus, providing access to diverse datasets for analysis. An ability to multi-task and manage changing priorities will be an asset. The prospective candidate will use systems biology (i.e. informatics and metabolomics) to investigate the metabolic networks of tumor cells and immune cells, and will test these findings using cell biology and animal models of cancer development and immune function.
The successful candidate will be expected to design and implement the techniques required to carry out the project, conduct independent data analysis and interpretation, prepare reports of research findings, and contribute to the preparation of manuscripts and grant applications. The candidate will represent the laboratory and be responsible for disseminating research results at internal and external scientific meetings. The candidate is expected to participate in the training and supervision of graduate students and postdoctoral trainees.
We welcome applications from well-qualified candidates who have enthusiasm for multidisciplinary cancer research and are eager to develop novel collaborative approaches for investigating cancer, especially interactions with clinical colleagues in the Montreal area. The selected candidate will be provided with
laboratory space within the Jones Lab.
Applicants must have a Ph.D. in Bioinformatics, Biostatistics or a related discipline. 5 years of research experience with cancer biology and/or immunology.
OTHER QUALIFYING SKILLS & ABILITIES
The applicant should possess basic skills in molecular and cellular biology, and must have expertise in
bioinformatics and computer programming, which includes proficiency with R, data processing and analysis of next generation sequencing (NGS) and/or metabolomics datasets.