Data Scientist with pharma, healthcare, or biotech domains

Akkodis is seeking a Data Scientist with pharma, healthcare, or biotech domains for a contract position with a client in Toronto (Onsite) and is ideally looking for experience with pharma, healthcare, or biotech domains

Position: Data Scientist

Location: Toronto, ON

Contract

3+ years of experience in pharma, healthcare, or biotech domains

Responsibilities:

• Collaborate with cross-functional teams, including scientists, technologists, and IT professionals, to understand data requirements and systems and to deliver scalable solutions.
• Develop workflows and automated data pipelines for discrete and real-time data extraction, cleansing, and loading
• Database connections, user management, permissions, and code environments
• Workflow maintenance and data sharing across projects
• Optimization of ETL processes for performance and efficiency
• Champion new features or plugins/extensions as required
• Analyze large datasets to identify trends, patterns, and actionable insights based on scientific or operational data
• Develop and maintain interactive dashboards and reports using Power BI, focusing on:
• Embedded analytics and effective data storytelling
• KPI tracking and lean principles in alignment with business and scientific objectives
• Ensure data accuracy and integrity through rigorous validation and testing
• Maintain comprehensive documentation including but not limited to business intake forms, data processes, workflows, methodologies, and findings
• Create and present findings virtually and/or in person
• Generate training material, schedule and perform virtual or in-person training sessions
• Stay updated with industry trends, new technologies, and best practices in data platforms and architecture
• Implement best practices for process optimization, automation, and workflow improvement using Python and scripting tools
• Lead efforts to drive technology adoption, define best practices, and ensure smooth transitions

Qualifications/Technical Skills:

• Proficiency in Python, SQL, and R for data manipulation and analysis (certification is highly desirable)
• Familiarity with cloud platforms (AWS & Snowflake) and database technologies (ETL, OLAP, data lakes - certification is highly desirable)
• Proficiency in Microsoft product ecosystem (SharePoint, Power Apps, Teams)
• Proficiency in project management systems (Jira, MS Project)
• Advanced Power BI development skills, including experience with embedded analytics and data visualization (shareable portfolio is an asset)
• Strong infrastructure automation skills
• Green Belt Lean, Scrum, or project management certification is an asset

Experience:

• 3+ years of experience in pharma, healthcare, or biotech domains
• Concrete experience in constructing data visualizations, utilization of analytical tools, and application of statistical analysis in scientific and business contexts
• Familiarity with orchestration and configuration management tools
• Experience maintaining Git repositories and working in Agile environments.
• Knowledge of current visualization tools and emerging trends
• Familiarity with machine learning and AI

Soft Skills:

• Excellent communication skills for translating complex data insights into clear, actionable recommendations for non-technical stakeholders
• Strong verbal and written proficiency in English is required, as the incumbent will have a client-facing role conducting technical needs assessment interviews with scientists and developing
• technical implementation strategies.
• An exceptional ability to translate scientific and business needs into actionable data products
• Exceptional analytical thinking, able to dissect complex problems and derive actionable insights
• A strong project manager with awareness of tools (Jira, MS Project)
• Strong collaboration skills, working effectively with cross-functional teams including digital, engineering, lab operations, and IT, with proven project management experience to lead teams and ensure successful execution of initiatives

Education and Certifications

• Minimum: Bachelor’s degree in Science, Mathematics or Engineering with a focus on Data Science, Bio-Statistics, or Software Engineering
• Asset: Master’s in Biotechnology, Bioinformatics, Computer Science or Engineering