| POSITION TITLE |
Research Associate/Postdoctoral Fellow |
| DEPARTMENT |
LTRI - Computational Biology |
| EMPLOYMENT TYPE |
Temporary Full-Time |
| HOURS OF WORK |
37.5 hours per week |
| EMPLOYEE GROUP |
Non-Union |
| REPORTS TO |
Principal Investigator |
The Campbell Lab (https://www.camlab.ca) is searching for an enthusiastic associate/postdoctoral fellow to work at the interface of single-cell and spatial data analysis and computational methods development. Based at the Lunenfeld-Tanenbaum Research Institute of Sinai Health System and the Departments of Molecular Genetics and Statistical Sciences, University of Toronto, we are a highly collaborative group working on applications of machine in translational biomedicine, with a focus on single-cell and cancer genomics.
POSITION OVERVIEW:
We have an opening for a research associate/postdoctoral fellow (depending on experience) to work leading multiple exciting collaborative projects on single cell and spatial genomics. The successful applicant will develop state-of-the-art computational analyses for a range of unpublished and published datasets, communicating with collaborators and iterating over designs. There is also scope for significant original computational methods development, depending on applicant experience and interests, following our lab’s strong track record in this area. The applicant will be encouraged to attend national and international conferences to present work and network with the community, as well as publish results in journals. Depending on experience, the applicant will have the opportunity to mentor junior researchers within the group. This position will be supported by a competitive salary and access to state of the art compute infrastructure as well as the thriving machine learning community in Toronto’s discovery district.
For informal enquiries about the position, please email kierancampbell@lunenfeld.ca.
DUTIES AND RESPONSIBILITIES:
- Develop state-of-the-art analysis pipelines for single-cell transcriptomic and spatial ‘omic data
- Development of novel computational methods to understand single-cell heterogeneity
- Development of techniques to design marker panels from high dimensional ‘omic data
- Communicate and iterate analysis taking feedback from multiple project collaborators
- Write and publish research papers in journals
- Attend and present work at international conferences
- Mentor junior researchers in the group
SKILLS/QUALIFICATIONS:
Essential:
- A strong computational background with a bachelors/masters/PhD in computational biology, biostatistics, or related fields
- Evidence of advanced computer programming capability using Python and/or R within a research setting.
- An appreciation or enthusiasm for single-cell biology and computational methods development
- Demonstrate strong interpersonal skills through experience of working within a scientific research team or collaboration.
Desired:
- A track record of publications in computational biology
- Experience analyzing single cell or spatial expression data in R or Python
- Experience using bioinformatic workflow managers such as Snakemake or Nextflow
- Experience managing collaborative projects and mentoring junior researchers
TO APPLY:
Please apply to the job posting at the link above attaching:
1) A cover letter, referencing your suitability for the role, enthusiasm for the research, and availability
2) An academic CV including education, publications, and links to previously created open source software / machine learning projects
3) Contact details for two referees, including name and email
The Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, a University of Toronto affiliated research centre, is one of the world's leading centres in biomedical research. With ground-breaking discoveries in research areas such as diabetes, genetic disorders, cancer and women’s and infants’ health, the Institute is committed to excellence in health research and the training of young investigators. Strong partnerships with the clinical programs of Mount Sinai Hospital ensure that scientific knowledge is used to promote human hsdfsdfealth. Your significant contributions will assist in maintaining our momentum in advancing our research.
In accordance with Institute’s policy and legislated health and safety requirements, employment is conditional upon the verification of credentials, completion of a health review, and demonstrating proof of immunity and vaccination status of vaccine-preventable diseases. Successful candidates will be required to provide two (2) written reference letters from their former employer(s)/supervisor(s).
We are a fully committed to fairness and equity in employment and our recruitment and selection practices. We encourage applications from Indigenous peoples, people with disabilities, members of sexual minority groups, members of racialized groups, women and any others who may contribute to the further diversification of our Sinai Health community. Accommodation will be provided in all parts of the hiring process as required under our Access for People with Disabilities policy. Applicants need to make their requirements known in advance.
The Lunenfeld-Tanenbaum Research Institute is a scent sensitive environment and all members of the community are expected to refrain from wearing or using scented products while visiting or working at the Institute. We also support a barrier-free workplace supported by the Institute’s accessibility plan, accommodation and disability management policies and procedures. Should you require accommodation at any point during the recruitment process, including accessible job postings, please contact the Lunenfeld-Tanenbaum Human Resources Department.
| Posting open until March 14, 2023. We thank all candidates for applying. Only those selected for an interview will be contacted. |
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