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Sorry, the application deadline for this position was 9/15/2020

Reference Number: 000001363
Posted Date: 8/20/2020
Closing Date: 9/15/2020

Department: LTRI
Position: Post-Doctoral Fellow

POSITION TITLE  Post-Doctoral Fellow
DEPARTMENT  LTRI
EMPLOYMENT TYPE  Regular 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 postdoc to work at the interface of machine learning and single-cell data analysis. 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 learning in translational biomedicine, with a focus on single-cell and cancer genomics.

POSITION OVERVIEW:

We have an opening for a postdoctoral fellow to work lead on an exciting new project developing automated machine learning (AutoML) methods for single-cell data analysis, funding by an NSERC award Accelerating biological discovery with automated machine learning for single-cell data analysis. The postdoctoral fellow will have the opportunity to develop novel AutoML methods and apply them to pertinent applications in single-cell analytics, with opportunities to attend and publish in machine learning conferences (NeurIPS, ICML, AISTATS) as well as more biomedically-focussed journals. The successful applicant will have the opportunity to get significant experience in designing cutting-edge machine learning models with potential for commercialization. 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 _at_ lunenfeld.ca​

DUTIES AND RESPONSIBILITIES:

  • Develop and apply novel machine learning methods to aid the analysis of single-cell genomic data
  • 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 quantitative background with a PhD in machine learning, computational biology, biostatistics, or related fields, with a track record of publications in this area;
  • Evidence of advanced computer programming capability using Python and/or R within a research setting.
  • An appreciation or enthusiasm for single-cell biology;
  • Demonstrate strong interpersonal skills through experience of working within a scientific research team or collaboration.

Desired:

  • Evidence of experience developing machine learning projects in either pytorch or tensorflow;
  • An understanding of probabilistic machine learning concepts like Gaussian Processes, variational autoencoders, and Bayesian optimization;
  • Experience analyzing single-cell genomics data, such as scRNA-seq, single-cell whole genome sequencing, or single-cell proteomics;
  • Experience using bioinformatic work flow managers such as Snakemake or Nextflow.

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. 

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 September 15, 2020. We thank all candidates for applying. Only those selected for an interview will be contacted.

Hours: 37.5 hours per week

Contact Name: Online
Contact Email: Online
Contact Phone: Online
Contact Fax: Online

 

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