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Reference Number: 000001662
Posted Date: 5/9/2022
Closing Date: 5/22/2022

Department: LTRI
Position: Programmer (Biomedical Data Science)

POSITION TITLE Programmer  (Biomedical Data Science)
EMPLOYMENT TYPE Temporary Full Time 
HOURS OF WORK 37.5 hours per week
REPORTS TO Principal Investigator 

The Campbell (www.camlab.ca) and Jackson (www.jacksonlabltri.com) labs are searching for a software developer (biomedical data science) for an exciting academic/industrial collaboration to develop novel applications and analyses for highly multiplexed imaging. Based at the Lunenfeld-Tanenbaum Research Institute of Sinai Health System and the University of Toronto, we are a highly collaborative pair of labs working with large heterogeneous datasets to answer pressing questions about cancer biology.


We are establishing an exciting and unique academic/industry collaboration to change the way researchers select and standardize high-dimensional markers in experiments via a machine-learning digital platform. We are looking for a developer to lead design and development of this platform and additional analysis pipelines. The selected candidate will have significant freedom to lead and build creative solutions that will have immediate real-world impact to cancer researchers and beyond. This position would also suit a candidate with significant software development experience looking to gain further experience in high-dimensional data analysis and machine learning. The successful candidate will work on the following:

  1. High dimensional data analysis web-app development, including implementation of test framework, code optimization, and UI refinement
  2. Implementation and evaluation of machine learning models for prediction and feature selection
  3. Design and implementation of visualizations for a range of high-dimensional data
  4. Implementation of data analytic workflows for a range of measurement standardization

This position will be supported by a competitive salary including generous benefits and potential for continued licensing payments. In addition, there is access to state-of-the-art compute infrastructure as well as the thriving biomedical and machine learning community in Toronto’s discovery district.


  • Software development following best practices including version control and unit testing
  • Development and evaluation of high-dimensional data analytic pipelines and machine learning models
  • Creation of documentation detailing applications and pipelines created
  • Liaise with industry collaborators to discuss milestones and incorporate feedback
  • Mentor junior researchers and developers within in the group



  • Strong track record in programming abilities in common data science languages such as R or Python
  • Strong data handling abilities including using data frames, data operations (e.g. merge, concatenation, sort etc.)
  • Experience in best practices for software development including (but not limited to): version control (using Git & Github), unit testing, documentation
  • An appreciation or enthusiasm for biomedical research
  • Demonstrate strong interpersonal skills through experience of working within a scientific research team or collaboration.


  • Further studies (masters, PhD) in a quantitative subject with a biomedical component
  • Demonstrable experience with R/Shiny app development
  • Experience using Docker containers
  • Experience analyzing single-cell genomics data, such as scRNA-seq, single-cell whole genome sequencing, or single-cell proteomics
  • Applied machine learning experience (particularly supervised models like Random Forest) and appreciation of common pitfalls (overfitting, non-independent train/test splits, etc.)
  • Experience using bioinformatic workflow managers such as Snakemake or Nextflow



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.  A CV including education, publications if any, and links to previously created open source software/ machine learning projects

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 health.  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. All employees and affiliates will follow safe work practices and comply with health and safety policies, procedures, and training. Successful candidates will be required to provide two (2) written reference letters from their former employer(s)/supervisor(s).

To ensure the safety and wellbeing of all our people and patients, Sinai Health has made it a priority to support everyone in getting vaccinated against COVID-19. Consistent with this, our Staff Immunization & Surveillance Policy was recently updated to include the requirement for full vaccination – currently defined as receiving two doses and serving a 14-day waiting period following the second dose – in order to be able to work at Sinai Health. To be compliant with our updated Policy, you must provide proof of dual COVID-19 vaccination, as indicated on the Prospective Immunization and Surveillance Policy Information Sheet, in order to be eligible for employment at Sinai Health. If you believe you are one of the very few people who may require an exemption from vaccination, supporting medical information must be submitted to our Occupational Health department, who will review and assess.

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 May 22, 2022. 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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