Data Scientist Associate [Co-op 8+ Months Preferred]

Company Description

FluidAI Medical is a medical device organization creating a paradigm shift in post-operative care, utilizing the plethora of data within the body, to help in the detection of post-operative complications at their onset. Our clinically validated platform sensing technology augments existing wound drains and catheters, providing healthcare providers with a smart monitoring tool that can support earlier detection of deadly complications and enhance the delivery of care.  We are an equal opportunity employer and have a diverse team representation across language, ethnicity, gender, and nationality.

Why join FluidAI?

• Mission to save lives and improve patient care with technology that is already deployed on patients in real-world settings.
• Work with a high-performing and cross-functional team that is empowered to grow, learn, and contribute across all levels of the organization.
• Personal career-focused development and training with access to workshops, coursework, and experienced mentors/consultants.
• Regular offsite activities – past events include rafting, axe-throwing, sports leagues, and the usual BBQ.
• Hybrid, work-from office preferred.
  
  

Job Summary

The candidate would join the Clinical-Product-Data team to build and analyze predictive models for postoperative complications after gastrointestinal surgery to support the enhancement of FluidAI’s products. The candidate would be working with retrospective electronic health record data to perform exploratory data analysis (EDA), evaluate existing predictive models, and build new models that integrate clinical expertise with novel modelling techniques. These models would be evaluated rigorously in the context of accuracy and suitability for clinical workflow within FluidAI’s product ecosystem. The candidate will expand on existing data and modelling pipelines and maintain documentation. Furthermore, the candidate will have the chance to work with an interdisciplinary team of data scientists, software engineers, clinical trial specialists, and product and design teams. We are an equal-opportunity employer and have a diverse team representation across language, ethnicity, gender, and nationality. This position will require you to come into our offices in Kitchener, ON.

Note: This is an office-first role working out of our Kitchener HQ in the Medical Innovation Xchange

Job Responsibilities

• Perform exploratory data analysis on retrospective electronic health record data to uncover patterns and inform data engineering for features and labels.
• Build data and modelling pipelines for experimentation, testing, and result reporting.
• Collaborate with other data scientists, clinical researchers, product designers, and clinicians to ensure user needs and clinical knowledge are incorporated into the data analysis and model design.
• Conduct focused literature reviews to understand existing and novel modelling techniques in the space.
• Report on and present results to the wider Clinical-Product-Data team.
• Develop and maintain relevant documentation for code, data pipelines, and reports.
• Support other data analysis, machine learning and/or AI projects as needed.
• Qualifications:
  
  

You are detail-oriented and organized and can work independently in a fast-paced environment. You are not afraid to take the driver's seat, love to learn, and can quickly grasp new concepts as they arise during your work. If this sounds like you, we would love to meet you!

• Candidate for Bachelor’s degree in engineering, computer science, or related field of study.
• Proficiency with Python and standard data science tools for data processing, statistical analysis, machine learning, and visualization (such as NumPy, Polars, scikit-learn, Matplotlib, SQL, etc.)
• Ability to integrate contextual knowledge, such as clinical expertise or product design requirements, into data analysis.
• Previous experience developing predictive models with medical data is an asset.
• Experience in time series forecasting, synthetic data generation, or weak supervision is an asset.
• Comprehension of medical terminology is an asset
• Strong written and verbal communication skills
• Meticulous and detail-oriented
• Strong organizational skills and ability to multi-task.
  
  

Transparency & Hiring Practices

• Compensation: The salary for this position will be based on the average co-op wages as outlined by your institution’s co-op program or similar institutions if specific data is unavailable, ensuring fair and competitive compensation aligned with industry and academic standards.
• Grant Eligibility: This position is made possible through wage subsidy grants such as BioTalent SWPP. As such, participants must be a current full-time student registered in a Canadian Post-secondary program. International students are not eligible. Eligible participants must be a Canadian citizen, permanent resident or person who has been granted refugee status in Canada and be legally entitled to work.
• Application Screening: All applications are screened manually. We do not use AI or AI-Augmented Applicant Tracking Systems (ATS) to screen, assess, reject, or select candidates.
• Position Status: This job posting is for an active vacancy within our organization.