8 Medical Informatics jobs in Canada

DarkVision, a Koch Engineered Solutions company, is seeking a Data Analysis Team Lead to join our fast growing In-line (pipeline) Inspection team in North Vancouver, BC . DarkVision leverages cutting-edge proprietary acoustic imaging technology to deliver industry leading asset inspection services, capable of detecting defects as small as a few millimeters. As an ILI (In-Line Inspection) Data Team Lead, you will manage a team of Data Analysts to produce accurate inspection reports critical to the safe operation of oil and gas pipelines.

The ideal candidate has experience leading technical teams to deliver mission-critical results in a fast-paced, entrepreneurial environment. You bring a passion for operational excellence, process optimization, and challenging the status quo. Join our innovative team - comprising experts in machine vision, imaging, computer graphics, and data analytics - as we continue building the world's most advanced platform for industrial imaging and pipeline diagnostics.

Our Team

Our Data Analysts utilize 3D data visualization software and human-in-the-loop machine learning processes to meticulously analyze ultrasound datasets. The outputs of these analyses result in critical insights that enable our clients to make data-informed decisions on the operations and maintenance of multi-million-dollar infrastructure assets.

What You Will Do

• Learn the delivery standards and workflow processes for your assigned ILI product line
• Regularly check in with team members to assess capacity and remove roadblocks or inefficiencies
• Through frequent 1:1 meetings, track team members' progression in their role, deliver constructive feedback, and ensure they receive proper recognition for their work while building a roadmap for their career development
• Facilitate communication between your team and other teams and upper management
• Ensure employees are aligned with the company vision, and that the goals and direction of the team help drive achievement of the vision
• Facilitate the improvement of workflow procedures and best practices; seek out new solutions, seek feedback, and investigate and implement improvement opportunities
• Review projects assigned to Analysts on your team; you are responsible for the content and delivery of projects
• Partner with Recruiting and other Team Leads to recruit and evaluate candidates; a high volume of growth and hiring is expected
• Make informed recommendations for hiring, raises/promotions, performance management, and further training
• Develop new and improve existing processes and standards
• Set project deadlines, assign project leads, and manage follow-up requests
• Forecast team capacity vs. projected projects, offering transparency to stakeholders

Who You Are (Basic Qualifications)

• At least 2 years of engineering or science study at university, college, or technical school
• Experience managing a team producing client deliverables (e.g. reports, analysis)
• Experience managing early to mid-career individuals
• Experience leading process improvement initiatives

What Will Put You Ahead

• Experience in the Oil & Gas industry (e.g. ILI, pipeline or piping integrity, NDE/NDT, well integrity, well logging) or industrial asset inspection services
• Experience managing teams with at least 5 team members
• Experience in rapidly scaling an operation or team
• Able to disseminate complex information and generate pragmatic solutions
• Able to assess and adjust work processes to meet scaling requirements; delegate and prioritize work effectively among the team

For this role, we anticipate paying $85,000 - $110,000 CAD per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Who We Are

As a Koch Engineered Solutions company, DarkVision provides high-resolution acoustic imaging technology that offers significant improvements over existing ultrasonic and other imaging technologies on the market today. We serve customers in a variety of industries, such as public infrastructure, energy and pipelines, power (renewables and conventional), aerospace, manufacturing, automotive and others.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

How to Apply

If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.

We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.

Successful candidates will be required to complete a criminal background check.

keywords: team lead, supervisor, leadership, management, supervision, analyst, analysis, reporting, reports, pipeline integrity, in-line inspection, ILI, asset inspection, condition monitoring, anomalies, cracks, deformation, metal loss, geometry, well integrity, pipes, piping, oil & gas, upstream, midstream

#LI-JN1

You will report to a Senior Data Scientist under a Director, Data Science. As part of a central analytics org, we will work together on challenging projects regarding Life Cycle Management of EA games. Our team's mandate covers many parts of the player journey from acquisition to churn prevention, and together we will make pioneering impact in these areas.

This will be a fully remote position.

Responsibilities:

Build statistical and machine learning models to predict the Life Time Value of HD cohorts, and deploy said models by collaborating with data engineers.

Produce dashboards or other visual reporting to share results with non-technical partners.

Support other team efforts including the set up and analysis of incrementality, A/B tests.

Qualifications:

Proficient at git, Python and SQL.

3+ years of experience working with cloud databases such as Google BigQuery and Snowflake.

1+ years of experience building Looker and Tableau dashboards.

1+ years of experience using xgboost, scikit-learn or other Python machine learning libraries.

Experience with casual inference methods e.g., fixed effects, diff-in-diff preferred.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Principal Data Scientist - Modeling and Analysis
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 100 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.
Associates working in the hybrid model are expected to come into the downtown Toronto office 3 days a week across Tuesdays to Thursdays. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility.
At Capital One, we’re committed to diversity, inclusion and belonging . We’re focused on helping associates live well—physically, financially and emotionally. When you join us, we support you and those who are most important to you, offering full coverage for spouses, domestic partners, and dependents. We’ve designed our benefits program to be flexible, comprehensive and consistent across our organization. From health and fitness center discounts to training and professional development programs—and much more—you’ll discover that Capital One is committed to helping you live your best life.
Writing software to extract, clean, and investigate large, messy data sets of numerical and textual data
Building and maintaining machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in production
Designing rich data visualizations to communicate complex ideas to customers or company leaders
Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow
You know Python and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.
A Wrangler: You know how to programmatically extract data from various databases and APIs, bring it through a transformation or two, and model it into human-readable insights (Matplotlib, Seaborn, Tableau, etc.).
Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in unmined territories.
Proactive: You want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.
You have expertise in key aspects of model development, model deployment, or inference such that you are the go-to person in those areas.
An Emerging Leader: You feel comfortable running point on big, complex projects. You can paint a compelling picture of your recommendations and manage the message toward both technical and non-technical audiences.
With Manager approval, you can travel to a conference of your choice annually - PyCon, PyData, AWS re:Invent, KDD, etc.
~ Various internal training opportunities across our US and Canada locations
~$Hybrid work environment with flexible work hours, dress code, and environment

Be ready to join a community of the smartest people you’ve ever met, who see the customer first, and want to use their data skills to make a difference.
Bachelor’s Degree in a quantitative field
At least 3 years of experience in open source programming languages for large scale data analysis (Python, R, or Scala)
At least 3 years of experience with version control system like GitHub
At least 3 years of experience with machine learning or predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc.)
At least 3 years of experience with relational databases and programming in SQL
Master’s Degree or PhD
Experience working with AWS (EC2, S3, Lambda, RDS, etc.)
Experience writing unit tests and integrating with CICD tools (Jenkins, CircleCI, etc.)
At least 5 years’ experience in Python or R
At least 5 years’ experience with machine learning / predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc.)
At least 5 years’ experience in SQL
We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (

161 Bay Street (93021), Canada, Toronto, Toronto, Ontario,

Principal Data Scientist - Modeling and Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 100 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.

Working with us

Associates working in the hybrid model are expected to come into the downtown Toronto office 3 days a week across Tuesdays to Thursdays. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility.

At Capital One, we’re committed to diversity, inclusion and belonging. We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates.

We’re focused on helping associates live well—physically, financially and emotionally. When you join us, we support you and those who are most important to you, offering full coverage for spouses, domestic partners, and dependents. We’ve designed our benefits program to be flexible, comprehensive and consistent across our organization. From health and fitness center discounts to training and professional development programs—and much more—you’ll discover that Capital One is committed to helping you live your best life.

On any given day, you could be:

• Writing software to extract, clean, and investigate large, messy data sets of numerical and textual data
• Building and maintaining machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in production
• Designing rich data visualizations to communicate complex ideas to customers or company leaders
• Designing and analyzing experiments to optimize business strategies
• Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow

The Ideal Candidate will be:

• Curious: You ask why, you explore, you’re not afraid to share your disruptive ideas. You know Python and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.
• A Wrangler: You know how to programmatically extract data from various databases and APIs, bring it through a transformation or two, and model it into human-readable insights (Matplotlib, Seaborn, Tableau, etc.).
• Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in unmined territories.
• Proactive: You want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.
• An Expert: You have superpowers you can’t wait to share. You have expertise in key aspects of model development, model deployment, or inference such that you are the go-to person in those areas.
• An Emerging Leader: You feel comfortable running point on big, complex projects. You know how to motivate others and bring them along your journey. You can paint a compelling picture of your recommendations and manage the message toward both technical and non-technical audiences.

Benefits

• Your choice of hardware - latest MacBook Pro or HP EliteBook and all the monitors you want!
• With Manager approval, you can travel to a conference of your choice annually - PyCon, PyData, AWS re:Invent, KDD, etc.
• Various internal training opportunities across our US and Canada locations
• $5000/yr education budget
• Hybrid work environment with flexible work hours, dress code, and environment

Thirty years after Capital One was started it’s still led by its founder. Be ready to join a community of the smartest people you’ve ever met, who see the customer first, and want to use their data skills to make a difference.

Basic Qualifications:

• Bachelor’s Degree in a quantitative field
• At least 3 years of experience in open source programming languages for large scale data analysis (Python, R, or Scala)
• At least 3 years of experience with version control system like GitHub
• At least 3 years of experience with machine learning or predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc.)
• At least 3 years of experience with relational databases and programming in SQL

Preferred Qualifications:

• Master’s Degree or PhD
• Experience working with AWS (EC2, S3, Lambda, RDS, etc.)
• Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching)
• Experience writing unit tests and integrating with CICD tools (Jenkins, CircleCI, etc.)
• Experience with experimental design
• At least 5 years’ experience in Python or R
• At least 5 years’ experience with machine learning / predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc.)
• At least 5 years’ experience in SQL

We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

• For more information on this job, please contact Benton Foster, Director Community Health Programs at
• For more information about the recruitment process, please contact Sneha Iyer, HR Consultant at or
  

• Government of Yukon’s many benefits
• As an added benefit, nurses, nurse practitioners and LPNs who work and live in the Yukon may be eligible for increased student loan forgiveness. Check out the details here .
  

• Yukon Life
• Working at Yukon government
  

• Current Canadian licensure as a Registered Nurse or eligible for registration with the Yukon Registered Nurses Association (YRNA)
• Experience in applied clinical nursing informatics
• Considerable clinical experience working in communicable disease and/or immunization programs is an asset
• Experience in providing adult education, mentoring and coaching techniques
• Experience in developing standards, policy and protocols
• Demonstrated leadership in coordinating clinical and administrative teams within healthcare settings.
  

• Influencing others by generating commitment and building strong relationships internally and externally to influence collaborative goals.
• Leading change and innovation.
• Excellent interpersonal skills, flexibility and effective teamwork abilities.
• Enthusiastic, highly motivated and can produce effective results while working independently
• Excellent critical thinking and decision-making skills, with the ability to analyze and solve complex problems.
• Excellent communication and organizational skills,
  

• Valid driver’s license,
• Current Yukon RN registration,
• Security clearance,
• WHMIS 2015 (within one month of hire),
• YFN 101 course (within one month of hire).
  

• The position works in an office environment and often travels within Whitehorse for meetings, Trainings, etc.
• Occasional out-of-territory and within territory travel may be required.
• Must be able to lift 30lbs as position lifts and transports equipment for trainings such as laptops and presentation kits.
  

• For help on creating your E-recruitment profile, email or phone .
  

Job Description

“How do you bring kindness to others every day?”
Join us in our journey of kindness – our Kind era – where compassion is our language, and kindness is our legacy. We are committed to nurturing a culture of kindness that flourishes within our team. Our valued team members are the heart of our mission and their well-being directly impacts the lives of those in our care.

The Manager of Clinical Informatics reports to the Director of Care and manages the information technology and compliance related to resident care through coordinating the RAI-MDS process and monitoring of quality outcomes and CIHI reports. Responsible for the quality of resident care and nursing restorative philosophy and furthermore ensures compliance through coaching, mentoring, and discipline as required. Also, this position is responsible for ensuring staff education, orientation, and mentoring to support the transfer of RAI MDS 2.0 and Quality Improvement knowledge within the home.

Responsibilities:

• Responsible for an overview of Informatics on Quality Improvement and RAI-MDS 2.0 process of new staff or students.
• Responsible for education and software training to all appropriate staff members on RAI-MDS 2.0, RAPS, subscale outcome measures, quality indicators, and reports.
• Coordinates the AIS certification of all newly hired registered staff and annually thereafter
• Informatics and RAI-MDS 2.0 assessment process • Schedules and monitors all informatics on residents assessments
• Working in consultation with management and interdisciplinary team members to develop processes that ensure data integrity, efficient data collection process, assessment completion and data utilization.
• Coordinates the MDS Analytics process and trends coding deficiencies
• Establishing data quality processes to evaluate MDS coding accuracy and its timely completion
• Generates and evaluates RAI MDS 2.0/CIHI reports. Discuss findings with department heads and use them in clinical and operational decision making.
• Required to understand the nature and meaning of quality indicators used by the Home and to understand which indicators are publicly reported.
• Required to participate in the improvement of the indicators and achieve satisfactory results.
• Co-ordinates the data submission process to Canadian Institute for Health Information (CIHI)
• Takes the lead of the Nursing Restorative program in the home
• Mentors and coaches the Nursing Restorative Therapists
• Closely monitors ADL scores, outcome scores, and Special Rehab RUG in relation to nursing rehab.
• Interprets legislative requirements to the nursing team and monitors compliance to standards through continuous quality improvement activities.
• As a member of the in-home management team, participate in the recruitment, selection, training, and performance management of in-home staff, analysis of related management information, and in the implementation of related measures.
• In collaboration with the Director of Care, monitors RAI MDS expenditures monthly to ensure that expenses are within budget.
• Other duties as assigned and or indicated in Job Task Inventory

Qualifications

At Cooksville Care Centre we take pride in our employees, so your qualifications are important to us. We use them to get to know you and see if we are a good fit for each other. The qualifications needed to join our family at Cooksville Care Centre are as follows:

• Registered Practical Nurse designation with CNO
• Well-developed written and oral communication skills
• Knowledge and experience with adult education strategies/facilitation
• Proficient computer skills and strong problem solving abilities
• Ability to work with and relate to interdisciplinary team members and other internal stakeholders
• Knowledge of RAI-MDS – AIS certified as RAI Educator, if not must be completed successfully as soon as possible, i.e. within one month
• Skills and knowledge in trending and analyzing data
• Knowledge of Quality Improvement
• Minimum of two (2) years’ experience in a long term care setting.
• Minimum of 2 years supervisory experience desired
• Must have a clear vulnerable sector screen, no older than 6 months, TB test results less than 6 months old, must be able to provide three supervisory references.

What do we offer you?
Competitive wages
Comprehensive health and dental benefits
Vision care
RRSP matching
Employee and Family Assistance Program (EFAP)
Opportunities for professional and personal development
Medication training (if applicable)
Employee perks and engagement programs

We appreciate all applicants' interest, only those selected for further consideration will be contacted.
We are committed to inclusion, diversity, and equity in the workplace, and we welcome applications from all persons. Our organization takes the accessibility needs of employees and candidates with disabilities into account during the position summary review process. Employees and candidates are required to notify their Director/Manager/Supervisor or Hiring Manager if they have any accessibility needs, and the organization will work with the employee to address them.