The U.S. health sector is complex and dynamic - a vast and diverse network of entities that impacts the population and economy like no other industry. At USD$3.3 Trillion, healthcare spending represents nearly 18% of U.S. GDP. It is complex and inefficient, with estimates of fraud and waste ranging up to 30% of total spending. Health service buying, selling, and settlements have seen little change in the past decade despite clear changes in available information, technology, regulation, and market consolidation.

 Enter MacroHealth. MacroHealth is a mission driven company. We are building the most advanced and trusted market platform for health service payers and providers. The company’s vision is to create Intelligent Health Markets by building technology, knowledge and relationships that enable payers and providers to optimize the buying and selling of health services.

We are expanding our team of passionate thought leaders in Vancouver or Seattle as we pursue our goal of disrupting the U.S. health sector with our vision and technology. We are committed to developing leading edge solutions in a supportive environment focused on customer success and employee fulfillment.


MacroHealth is looking for a smart, passionate, and highly skilled Data Scientist with a strong Healthcare background and experience working in startups and larger companies in a high-tempo, dynamic environments. As a data scientist, you will be responsible for all aspects of data engineering, scrubbing and for developing visualization tools in order to produce actionable insights from data for our customers, and for our internal organization.

This position requires you to be a self-starter with the ability to take ownership, work with tight timelines, and handle various tasks simultaneously while continuing to develop a positive work culture. You will join a world renowned leadership team with a track record of leading the development of multiple successful companies and products.


  • Filter and cleanse unstructured (or ambiguous) high-dimensional, complex data into usable data sets that can be analyzed to extract insights and improve business processes.

  • Develop customer and claim analysis/visualization tools for optimization, for use both internally and externally by our customers.

  • Develop predictive analytics based on historical results and estimates.

  • Automate date ingest and extraction from a variety of sources.

  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure.

  • Work closely with the engineering team in order to leverage and help guide the backend data platform.

  • Work closely with top management to prioritize information and analytic needs.



  • Masters degree or equivalent in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science).

  • Prior work experience in the healthcare or insurance industries are preferred but not required.

  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.

  • Proven problem solving and debugging skills.

  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.

  • Experience with text analytics, data mining and social media analytics.

  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.

To Apply or to inquire about opportunities

If this sounds like a challenge that you are ready to take on and you are ready to work in partnership with an acclaimed technology thought leader, submit your resume in confidence to Raymond To at or Marvin Pon at They also welcome phone calls at 778-869-9268 or 604-999-3666.