Machine Learning Engineer

For over 50 years, LifeLabs has been Canada’s leading provider of laboratory diagnostic information and digital health connectivity systems, enabling patients and healthcare practitioners to diagnose, treat, monitor and prevent disease. We are passionate about empowering healthier Canadians through accessible, accurate, and innovative diagnostic services.

We are committed innovators, operating Canada's first commercial genetics lab, and the country's largest online patient portal, with more than 8 million Canadians receiving their results online. More than 112 million laboratorytests come through LifeLabs’ laboratories annually, and our team of more than 6,000 passionate, caring, and diverse professionals works together as one to provide high quality testing and results that Canadians can trust.

We know that behind every lab requisition, sample being tested, or investment in technology is an individual and their family counting on us. At LifeLabs, you can make a meaningful impact on Canadians’ lives every day.

Our teams are at the heart of everything we do. We are proud to be recognized as one of Canada’s Best Employers, reflecting our deep commitment to our core values of caring, agility, teamwork, and a customer-centered approach. As part of this commitment, LifeLabs prioritizes the ongoing development of our diversity, equity, and inclusion (DEI) program to better serve the needs of our diverse workforce and the communities we serve. We continue to take steps to challenge ourselves to act with courage and integrity, and to create an environment where people can be their true selves.

These values are not just words on a page, they guide our actions and decisions every day and have come to define our team culture.

Purpose Of The Role

At LifeLabs, we have a vision to enable better healthcare through providing consumers with actionable insights that lead to better sustainable outcomes. To realize our ambitious vision, we are investing in the development of data products and services to meet client needs such as insight extraction, predictive modelling and machine learning capabilities.

You will perform statistical analysis to understand our patient population and conditions which will be important to delivering the insights to our healthcare stakeholders. Deep understanding of the consumer journey and LifeLabs data assets will be key to unlocking the insights to better our solutions portfolio. You will spearhead feature engineering to build the foundation for predictive ML algorithms in our Azure environment. Experience in working with complex temporal patterns including events that occur at non-uniform intervals will be a strong asset.

Core Accountabilities

Data Analysis and Engineering:

• Exploratory Analysis: Explore and analyze complex datasets using statistical and machine learning techniques to uncover patterns, trends, and insights using Python, Scala, or SQL.
• Feature Engineering: Identify relevant features and develop strategies for feature extraction and selection to improve model performance and efficiency.
• Build net new data assets to support feature engineering processes.
• Data Processing: Pre-process, clean, and analyze large volumes of structured and unstructured data to extract meaningful insights and features for model training. Design and Implement data pipelines with the Cloud Engineer to streamline ETL jobs and create net new data assets which are key foundations to analysis and predictive modelling
  
  

Model Development

• Develop predictive models, classification algorithms, and recommendation systems to solve business problems and drive decision-making.
• Implement scalable and efficient machine learning pipelines using tools and frameworks.
• Deployment: Deploy machine learning models into production environments and integrate them into existing systems and applications.
• Monitoring and Maintenance: Monitor model performance and evaluate model accuracy, reliability, and scalability over time, and make necessary adjustments to improve performance.
  
  

Communication And Visualization

• Build interactive data visualizations and presentations to communicate insights and findings to stakeholders using tools such as Power BI.
  
  

Research And Innovation

• Stay abreast of the latest advancements in machine learning, deep learning, and related fields, and actively contribute to research initiatives and innovation projects within the company.
  
  

Minimum Hiring Requirements

• Minimum 4 years of experience in a comparable role
• Master’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field required, PhD an asset.
• Strong proficiency in programming languages such as Python, R, SQL with experience in building and deploying machine learning models.
• Experience with data manipulation and analysis libraries such as Pandas, NumPy, SciPy, Scikit-learn
• Experience working on Azure, UNIX, and hybrid environments.
• Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Experience with software development best practices, version control systems (e.g., Git), and agile methodologies is a plus.
• Excellent analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
  
  

LifeLabs’ compensation programs are commensurate based on the role, skill, effort, responsibility and working conditions, irrespective of gender, race, ethnicity, beliefs, age or any other personal characteristics. Pay programs are communicated regularly in an accessible and transparent manner.

LifeLabs is also proud to offer resources, opportunities, as well as a collaborative and supportive environment that enables our team members to thrive.

In Addition To a Competitive Compensation Package, LifeLabs Provides a Comprehensive Total Rewards Program, Specific To The Job Position. Your Package May Include

• Employee Group Benefits: Competitive coverage for employees and their families to support their overall health and wellness needs, including Extended Health Care, Dental Care, and Life Insurance.
• Retirement Savings Plan
• Vacation and Wellness Days
• Employee Wellness and Giving Programs: Our award winning mental, physical and financial wellness programs aim to address the comprehensive well-being of our team members, including resources like the Employee & Family Assistance Program, financial planning tools, and employee recognition initiatives.
• Professional development and membership reimbursement, access to preferred rates and discount programs, including WorkPerks, Home and Auto Insurance, Costco Membership, etc., and optional health-related benefits.
  
  

In accordance with LifeLabs’ Accessibility Policy , and the applicable Accessibility Acts within the provinces we operate in, accommodations are available by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email careers@lifelabs.com .

Vaccinations are highly encouraged at LifeLabs’. Vaccinations and/or immunization screening may be mandatory for selected employees if regulated by provincial or regional governments, or through employer-led vaccination policies in the facilities we service. Please ensure you ask if this position requires the successful candidate to be vaccinated or undergo immunization screening.

Ready to empower healthier Canadians? Apply today!

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