Research Data Analyst 1, Lawson
- London, ON
- On-site
- Posted Sep 18, 2026
- 1 position
$29–$36 / hour
Opens an external site
- Employment type
- Full-time
- Experience level
- Entry, Junior · 0+ years
- Minimum education
- Bachelor’s degree
- Apply by
- Oct 15, 2026
- Posting language
- English
- Working hours
- 38 hours per week
- Seniority
- Entry level
Job summary
The role involves building and maintaining software to convert imaging data into usable measurements for the Imaging Program. Responsibilities include writing analysis code, developing visualization tools, and transitioning prototype algorithms into robust software.
Job details
Lawson St. Joseph's Hospital - London, ON Temporary Full Time Salary Range: $28.89 - $36.10 /hour Temporary Full-Time position until approximately February 4, 2027, (with potential for renewal), subject to the availability of work. The successful candidate will work under the direction of Dr. Aaron So in the role of the — Research Data Analyst 1 — (Software Developer) to support the Imaging Program with building and maintaining software that turns imaging data into usable measurements. Responsibilities may include writing analysis code, develop visualization tools, and help move prototype algorithms toward robust, reusable software. This is a hands-on role involving work at the intersection of software engineering and medical research. You will work closely with the research team — imaging scientists, trainees, and analysts — and your code will directly support published work and ongoing studies. We are looking for someone who communicates well, works independently, and takes problems apart on their own initiative. This is a 5 day (37.5 hours) per week onsite position. Essential Qualifications Bachelor's degree in Computer Science, Software Engineering or a closely related field Fluency in Python and MATLAB, including scientific and numerical Libraries (e.g. NumPy, SciPy, pandas, or MATLAB equivalents. Solid grounding in programming fundamentals: data structures, algorithms, and debugging Experience with version control (Git) and collaborative development practices Excellent oral and written communication skills Strong self-motivation Independent problem-solving ability Ability to manage competing priorities and deliver on a defined timeline Available to work on-site in London, Ontario for the full length of employment. Preferred Qualifications Exposure to medical imaging, computer vision, or image processing (segmentation, registration, filtering) Familiarity with medical imaging formats and tools (DICOM, NIfTI, ITK/VTK, 3D Slicer, SimpleITK) Experience applying deep learning to imaging tasks (segmentation, classification, denoising) Experience writing performant code: vectorization, parallel processing, or GPU computing Background in a research environment, or co-authorship on technical or scientific work Familiarity with software testing, continuous integration, or packaging tools Immunization Requirements Provide vaccination records or proof of immunity against measles, mumps rubella, varicella (chicken pox), Hepatitis B, COVID-19 and influenza. Provide documentation of the Tuberculosis skin testing
What you’ll do
The role involves building and maintaining software to convert imaging data into usable measurements for the Imaging Program. Responsibilities include writing analysis code, developing visualization tools, and transitioning prototype algorithms into robust software.
Requirements
Candidates must have a Bachelor's degree in Computer Science or Software Engineering and fluency in Python and MATLAB. Experience with version control and a strong grounding in programming fundamentals are essential.
Listed skills
- Git · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- MATLAB
- NumPy
- SciPy
- Pandas
- Git
- Software Engineering
- Data Structures
- Algorithms
- Medical Imaging
- Computer Vision
- Deep Learning
- DICOM
- NIfTI
- GPU Computing
- Software Testing
Job areas
- Software
- Science & Research
- Healthcare
- Data & Analytics
- Engineering
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