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Praxis Institute

Research Assistant (Data Science)

Translational Research – Vancouver, British Columbia
Department Translational Research
Employment Type Part-Time

POSITION: STUDENT PART-TIME, 12 MONTH TERM (WITH THE POSSIBILITY OF EXTENSION)
REPORTS TO: DIRECTOR, RESEARCH & BEST PRACTICE IMPLEMENTATION
UNIT: TRANSLATIONAL RESEARCH

The Praxis Spinal Cord Institute (formerly Rick Hansen Institute) is a Canadian-based not-for-profit organization that leads global collaboration in spinal cord injury research, innovation, and care. We advance ground-breaking ideas that can be put into practice, making lives better. We actively engage people with spinal cord injuries and other world-class experts to work together to identify and solve the most urgent challenges to make exceptional improvements in the health of people with spinal cord injuries.  The Praxis Spinal Cord Institute is proudly accredited by Imagine Canada and was named one of Canada’s Top 100 Charities by Maclean’s and Money Sense magazines, achieving an A+ rating.

This position presents a great learning opportunity for a student looking to build upon or expand their experience in the fields of computer science, engineering science, or statistics. RHI provides a multi-disciplinary environment where autonomy, critical and creative thinking are encouraged. The values that drive our mission are teamwork, collaboration, innovation, integrity and trust and exceptional outcomes. 

Reporting to the Director, Research & Best Practice Evaluation, the Research Assistant will work closely with and take direction from the Senior Biostatistician on assigned projects. The Research Assistant will also work collaboratively with other RHI internal and external project team members and assist with the preparation of a technical report, possibly a manuscript for publication. 

JOB ACCOUNTABILITIES

The Research Assistant is responsible for:

  • Supporting the application of new methods in Data Science (e.g. machine learning, Fuzzy theory) using SCI data;
  • Linking and integrating data in different formats from a variety of data sources (both internal and external to RHI);
  • Writing and executing computer programs as required, using Matlab or R;
  • Generating standard and customized data reports;
  • Conducting data reviews, data quality assessments, and data analyses using databases, spreadsheets, and statistical software such as SPSS and R;
  • Learning programming techniques, health services and population health research methods, and other relevant information related to the project as required;
  • Working collaboratively with other RHI team members, including providing regular updates on activities, ensuring timely notification of issues or problems, and communicating with internal and external project team members;
  • Assisting with the preparation of a technical report, and possibly a manuscript for publication; and
  • Performing other duties as requested.

QUALIFICATIONS

The ideal candidate will have:

  • A Masters or PhD in a relevant discipline (Computing Science, Engineering Science, Statistics, etc.) 
  • Experience using Matlab and R
  • Understanding of other statistical software such as SPSS and SAS
  • Two years of work experience in Machine Learning or Artificial Intelligence
  • Effective oral and written communication
  • Effective time management skills
  • Ability to maintain a high level of accuracy, analyzing and attention to detail
  • Ability to exercise tact, discretion, and confidentiality
  • Ability to interact effectively and positively with others
  • Ability to work independently and within a team environment in a fast-paced environment
  • Ability to identify and solve problems

HOW TO APPLY

Interested and qualified candidates can apply by October 25, 2019. While we thank all applicants for their interest, only short-listed candidates will be contacted. For more information on the Rick Hansen Institute, please visit our website at www.rickhanseninstitute.org

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  • Location
    Vancouver, British Columbia
  • Department
    Translational Research
  • Employment Type
    Part-Time
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