Environmental Science Reviewer - Fully Remote | Upto $120/hr

Mercor; Toronto; Hybrid; CAD 85.000 - 105.000; Vollzeit

Zusammenfassung

Randstad Canada is seeking a Senior Data Science Developer to provide analytics support, build cloud-based data models, and develop robust data pipelines for clinical analytics priorities. You will analyze large administrative health databases, create analytic cohorts, and develop interactive data visualizations in partnership with clinical teams.

This 7-month contract in Toronto uses a hybrid 3-day-in-office model and emphasizes data privacy, scalable analytics, and end-to-end pipeline delivery

Qualifikationen

• Health data experience in public sector or government context.
• Advanced SQL, Python, Azure, and Power BI delivery experience.
• Experience querying and linking large health databases to form analytic cohorts.
• Proven ability to develop and maintain automated data pipelines and clinical reporting.
• Strong documentation and knowledge-transfer skills.
• Nice-to-have: mental health data concepts; PHIPA privacy familiarity; Agile experience.

Aufgaben

• Design, build, and maintain cloud-based data models and Power BI dashboards.
• Develop automated data pipelines using SQL, Python, and Azure.
• Query and join large admin health datasets to form analytic cohorts.
• Perform root-cause analysis and compare pipeline architectures.
• Collaborate with clinical partners to adopt cloud analytics tools.
• Create data validation routines and technical documentation.
• Document end-to-end data architectures for sustainability.

Kenntnisse

SQL

Python

Azure

Power BI

Tools

Data pipelines

Analytics product engineering

Jobbeschreibung

We are seeking a skilled Senior Data Science Developer to provide technical analytics support, build cloud-based data models, and develop robust data pipelines for clinical analytics priorities. In this role, you will analyze large administrative health databases, build analytic cohorts, and create interactive data visualizations to support clinical partners. Working in a collaborative product delivery team, you will troubleshoot complex data engineering issues, maintain end-to-end analytics pipelines, and ensure strict alignment with data privacy guidelines and industry best practices.

Location: Toronto, ON (Hybrid – 3 days in office)

Duration: 7-month contract.

Advantages

• High-Impact Healthcare Analytics: Build critical cloud data products and analytics dashboards that directly inform clinical decision-making.
• Modern Cloud & Data Stack: Gain hands‑on experience leveraging Azure, Python, SQL, and Power BI in an enterprise setting.
• Complex Data Linkage: Deepen expertise in linking large administrative health databases and architecting advanced analytic cohorts.
• Flexible Hybrid Setup: Enjoy schedule balance with a structured, 3-day in‑office hybrid working model.

Responsibilities

• Design, build, code, and maintain scalable cloud-based data models, interactive Power BI dashboards, and clinical reporting products.
• Write technical scripts and build automated data pipelines using SQL, Python, and Azure cloud technologies.
• Query, transform, and analyze large administrative health databases, including linking disparate datasets and building analytic cohorts.
• Conduct root‑cause analysis on complex technical issues, evaluate alternate pipeline architectures, and recommend optimal data engineering solutions.
• Collaborate with project team members, technical staff, and clinical partners to support the adoption and effective use of cloud analytics tools.
• Develop data validation routines, conduct quality control checks, and deliver technical documentation, guidelines, and code repositories.
• Facilitate knowledge transfer sessions and document end‑to‑end data architectures for ongoing system sustainability.

Qualifications

• Health Data & Public Sector Domain: Demonstrated background working with health data and proven experience within a public sector or government context (Strictly Required).
• Core Technology Stack: Advanced proficiency and hands‑on delivery experience with SQL, Python, Azure, and Power BI (Strictly Required).
• Health System Databases & Data Linkage: Extensive experience querying and linking large administrative health databases to build complex analytic cohorts (Strictly Required).
• Data Pipeline & Analytics Product Engineering: Proven track record developing and maintaining automated data pipelines, data models, and clinical reporting products (Strictly Required).
• Technical Documentation & Knowledge Transfer: Strong written and verbal communication skills to author technical guidelines, system documentation, and lead knowledge transfer sessions (Strictly Required).
• Nice-to-Have Assets: Direct experience with mental health and addictions clinical data concepts.
• Nice-to-Have Assets: Familiarity with healthcare privacy legislation (e.g., PHIPA) and data governance frameworks.
• Nice-to-Have Assets: Experience working within Agile product-team delivery environments.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity‑seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non‑binary/gender non‑conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.