We are seeking a highly skilled Data Scientist to join our pharmaceutical analytics and digital innovation team. This role plays a key part in transforming scientific, clinical, manufacturing, and commercial data into actionable insights that accelerate drug development, optimize production processes, and improve patient outcomes. The ideal candidate combines strong analytical expertise, solid experience working with complex datasets, and a deep understanding of pharmaceutical or life sciences environments.

Data Analytics & Modeling Develop, validate, and deploy predictive and machine learning models to support R&D;, clinical trials, manufacturing, and commercial operations. Analyze large and heterogeneous datasets (clinical, real-world data, lab data, manufacturing data, supply chain). Perform exploratory data analysis (EDA) and communicate insights to scientific and business stakeholders.

Implement statistical modeling, hypothesis testing, and time-series forecasting as required. Support teams across R&D;, clinical development, quality, manufacturing, and regulatory. Ensure compliance with GxP, data integrity, and internal data governance standards.

Data Engineering & Infrastructure Work closely with data engineers to ensure high-quality, well-structured datasets. Develop automated pipelines for data ingestion, cleaning, transformation, and modeling. Leverage cloud platforms (AWS, Azure, GCP) for scalable model training and deployment.

Communicate results to scientists, technical teams, and leadership. Contribute to the development of best practices in data science, documentation, and reproducibility. Support digital innovation initiatives, AI-driven solutions, and automation projects.





Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, or related field. ~3–7 years of experience as a Data Scientist, preferably in the pharmaceutical, biotech, life sciences, or healthcare sectors.

Technical Skills

Robust programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).

Experience with SQL and relational databases (PostgreSQL, SQL Server, Oracle).

Experience building and deploying machine learning models. Familiarity with cloud-based ML environments (AWS Sagemaker, Azure ML, GCP Vertex AI). Solid understanding of statistics, experimental design, and data modeling.

Experience working with large datasets, ETL pipelines, and data processing frameworks. Knowledge of GxP, data integrity, and regulatory frameworks. Familiarity with clinical trial data, lab systems (LIMS), quality systems, or manufacturing datasets (MES, SCADA, historians).

Experience with real-world data (RWD) or real-world evidence (RWE) is an asset. No Canadian work experience is required for this position.

Artificial

Intelligence (AI) Disclosure: No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.



This position is a Job creation, created to support ongoing project needs.

Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage. An international community bringing together more than 110 different nationalities 70% of our leaders started their careers at the entry level A strong training system with our internal Academy and more than 250 modules available In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

Amaris

Consulting, part of Mantu is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering.

We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success. Our process typically begins with a brief virtual/phone conversation to get to know you!

Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

📌 Pharmaceutical Data Scientist (Toronto)
🏢 Amaris Consulting | Part of Mantu
📍 Toronto