LifeLabs Medical Laboratory Services
Machine Learning Engineer
This job is now closed
Job Description
- Req#: 144029
- 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
- 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.
- Build interactive data visualizations and presentations to communicate insights and findings to stakeholders using tools such as Power BI.
- 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 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 is the largest community diagnostics laboratory in Canada, serving the healthcare needs of Canadians for over 50 years. Our team members are truly centred around our customers, and we know that behind every lab requisition, sample being tested, or investment in technology is an individual and their family counting on us.
Consistently named one of Canada's Best Employers by Forbes, LifeLabs has also been recognized for having an award-winning Mental Health Program from Benefits Canada. The passion and commitment of over 6,000 diverse and innovative team members unites and motivates us to ensure our customers receive high quality tests and results that they can trust. Agile, customer-centred, caring and teamwork: we live these values every day in what we do to support our customers and healthcare providers, driving forward our vision of empowering a healthier you.
Job Title: Machine Learning Engineer
Reports to: Director, Data Products and Services
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:
Model Development:
Communication and Visualization:
Research and Innovation:Minimum Hiring Requirements:
This is a hybrid role.
Hiring Range: 92,600 - 118,000
The hiring range has been established, however, the final salary recommendation will be determined based off the level of experience, education requirement, external market conditions and internal equity.
In this position, you will be eligible for Lifelabs annual bonus.
Employee Benefits:
In this position, you will be eligible to participate LifeLabs’ group benefits plan which is available to LifeLabs employees in accordance with the terms and conditions of those plans.
Retirement Savings Plan:
The LifeLabs plans provide members with an easy way to save for retirement. By participating in the plan, you receive contributions made to your account on your behalf from LifeLabs.
Vacation Entitlement:
In this position, you will be entitled to vacation. We promote a healthy work-life balance and expect your full vacation to be taken each year.
Employee Wellness:
LifeLabs offers an award-winning Wellness Program focused on supporting your total health and well-being under our physical, emotional, and financial wellness pillars. We have been recognized in the industry for our focus on mental health supports.
Employee Giving program:
Designed to support any employee who donates, fundraises or volunteers for a Canadian Registered Charity or Non-Profit Organization.
In addition, LifeLabs offers professional development and membership reimbursement, access to preferred rates and discount programs - WorkPerks, Home and Auto Insurance, Costco Membership, etc. - and Optional Health-related Benefits.
We are committed to the ongoing development of our diversity, equity, and inclusion (DEI) program and have taken steps to strengthen our commitment to our team members and customers, to challenge ourselves to act with courage and integrity, and to create an environment where people can be their true selves.
At LifeLabs, we know that we are Stronger Together and that we will benefit from the unique perspectives and experiences that each team member offers.
Make a difference - join the LifeLabs team today!
At LifeLabs, we strive to create an inclusive and equitable workplace where our team members and the communities we serve feel accepted, valued, and respected.
In accordance with LifeLabs’ Accessibility Policy , the Accessibility for Ontarians with Disabilities Act, and the Ontario Human Rights Code, 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 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 fully vaccinated with the current Government approved COVID-19 vaccinations.
About the company
LifeLabs is the largest provider of specialty laboratory testing services in Canada. Together with our partners, we provide national access to specialized clinical tests. Excelleris is a wholly owned subsidiary of LifeLabs.