Data Scientist

The Institute of Cancer Research; Sutton No. 103; On-site; CAD 100,000 - 125,000; Full time

Job summary

A prominent research institute in Canada is seeking a Data Scientist to support innovative research initiatives. The role involves analyzing spatial data such as multiplex immunohistochemistry and conducting training for colleagues. Candidates should possess a PhD or equivalent in a quantitative field, along with strong computing skills in languages like R and Python. This position offers a dynamic work environment with access to state-of-the-art facilities and collaborative opportunities.

Benefits

Dynamic and supportive research environment

Access to state-of-the-art facilities

Professional development opportunities

Collaboration with leading researchers

Competitive salary and pension

Qualifications

• PhD or nearly awarded PhD in a quantitative subject or equivalent research experience.
• Experience in computational biology research methodologies.
• Skills in computing coding in R, Python, and relevant scripting languages.

Responsibilities

• Support Data Science research across the Institute.
• Analyze spatial data including multiplex immunohistochemistry and spatial transcriptomics.
• Stay current with developments in the field and train colleagues.

Skills

Bioinformatics computing coding

R

Python

Scripting languages

High performance computing (HPC)

Education

PhD in a quantitative subject

Masters in a quantitative subject

Undergraduate degree in a quantitative subject

Job description

Under the guidance of Professor Trevor Graham, we are seeking to recruit a Data Scientist to support Data Science research across the ICR. The successful candidate will have particular work on the analysis of spatial data (including multiplex immunohistochemistry, H&E and spatial transcriptomics) and will be required to stay abreast of new developments in the field and provide training to colleagues.

About you

The successful candidate must have:

• A PhD in a quantitative subject, or likely to be awarded a PhD in the near future. Research experience equivalent to PhD level will be considered.
• An undergraduate degree, or a Masters or equivalent in a quantitative subject.
• Skills in bioinformatics computing coding, in languages including R, Python and other scripting languages as appropriate. Experience of using high performance computing (HPC) systems for scientific computing.
• Experience of computational biology research methodologies pertinent to the role.

Department/Directorate Information

The Data Science Committee is chaired by Professor Trevor Graham, providing academic leadership of data science at the ICR to maximise the impact of our cancer research, by applying innovative data science and computation tools (in addition to our traditional areas of strength) to tackle the important cancer questions and ensuring infrastructure is considered to enable this.

What we offer

• A dynamic and supportive research environment
• Access to state-of-the-art facilities and professional development opportunities
• Collaboration with leading researchers in the field
• Competitive salary and pension