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Research Python Jobs in Quebec (NOW HIRING)

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Senior FX Artist

Montreal, QC

Solides compétences en scripting avec VEX, Python et MEL * Bonne maîtrise de Maya * Expérience ... Expérience en développement pipeline, R&D ou outils de production * Connaissance de Vellum

Scribendi

Senior Full Stack Developer

Montreal, QC · On-site

Our mission is to use technology to accelerate research, improve collaboration, and advance ... PHP, or Python, and MySQL or Postgres (or similar technologies). * Solid understanding of ...

SB Quantum

Geophysicist

Sherbrooke, QC

Research-level modelling with SimPEG & Python - Apply open-source inversion and forward-modelling frameworks (SimPEG, discretize) alongside custom Python pipelines for advanced susceptibility ...

Bentley Systems

AI scientist

Quebec, QC

Research AI/ML models and algorithms, combinatorial optimization problems * Develop proofs of ... Python, PyTorch, Scikit-learn, LangChain, DSPy. * Experience with major cloud providers (Microsoft ...

Bentley Systems

AI scientist

Quebec, QC

Research AI/ML models and algorithms, combinatorial optimization problems * Develop proofs of ... Python, PyTorch, Scikit-learn, LangChain, DSPy. * Experience with major cloud providers (Microsoft ...

Synechron

Data Scientist

Montreal, QC · Hybrid

CA$80K - CA$90K/yr

Through research and development initiatives in our FinLabs we develop solutions for modernization ... The candidate should be familiar with python development, predictive analytics and prompt ...

Teledyne

Embedded S/W Developer

Laval, QC

... research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical ... Signal processing, Python, MATLAB, TCP/IP, or linear algebra What we offer / Ce que nous offrons

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Research Python information

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What are popular job titles related to Research Python jobs in Quebec? For Research Python jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Quebec look for? The top searched job categories for Research Python jobs in Quebec are:
What cities in Quebec are hiring for Research Python jobs? Cities in Quebec with the most Research Python job openings:
Research Python jobs near you

Senior AI Data Engineer- Agentic Healthcare Platform

Medeloop

Montreal, QC

Other

Posted 3 days ago

Job description

The Role

This is a full-ownership data engineering role at the center of Medeloop's AI platform. You won't be maintaining pipelines someone else built,  you'll be architecting the data backbone that powers AI agents doing real operations at scale. You'll work directly with data scientists, AI engineers, and product teams to turn raw, complex healthcare data into the clean, structured, semantically-rich foundation our AI scientists depend on. Your work shows up in customer products and research outcomes, not internal dashboards that no one reads.Candidates who currently perform these tasks exclusively through manual processes are unlikely to be suitable for this role. We require an individual who has already adopted and integrated AI techniques to enhance operational velocity, rather than one who is contemplating future experimentation.If you want to build something that genuinely changes how medical research gets done, this is the role.

What You'll Own
  • The healthcare data lake: curating, extending, and evolving it through new concepts, derived variables, and data models that directly inform our AI engines and customer products
  • AI-native data workflows: designing and operating AI-powered pipelines (using tools like Claude Code and agent frameworks) to automate harmonization, cleaning, quality checks, and summarization at scale
  • NLP and semantic infrastructure: building pipelines for entity extraction, concept normalization, embedding-based retrieval, and semantic search that power the AI Scientist platform
  • Novel data extraction approaches: experimenting with and building new methodologies for working with unstructured clinical data, not just applying existing playbooks
  • Research-grade data products: delivering analytical samples, cohorts, and final datasets that withstand scientific scrutiny and are actively used by researchers and customers
  • Data governance and observability protocols: including access controls, PHI/PII handling, data classification, compliance, monitoring, alerting, data freshness, and comprehensive documentation to enable self-service capabilities.
What We're Looking For
  • 3+ years of relevant data engineering or data management within an analytics-driven organization, with end-to-end ownership from raw ingestion to final data product
  • Deep hands-on experience with healthcare CDMs (OMOP, FHIR, PCORnet) - designing or extending them, not just querying
  • Knowledge of medical ontologies: UMLS, SNOMED CT, RxNorm
  • Experience with big data, data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, embedding workflows, and other AI/ML workloads. Experience in big data tooling such as Spark, Iceberg, EMR
  • Fluent in Python and SQL; comfortable across structured and unstructured data
  • Proven NLP experience: semantic search, entity recognition, concept normalization, embedding pipelines
  • Strong grasp of inferential statistics and cohort methodology to be a real partner to data scientists and customers (as part of onboarding)
  • Experience contributing to an AI/ML product, especially in automated research or scientific discovery
  • Experience mentoring other engineers and providing technical leadership
Bonus Points
  • Multi-cloud experience (AWS, Azure, GCP)
  • Authorship or contribution to peer-reviewed publications or technical reports
Why Medeloop
  • Ownership from day one: small team, high-trust, no layers between your work and its impact
  • Technically ambitious: you'll build AI-powered workflows, not just support them
  • Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
  • Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Apply