Junior Data Scientist

3 weeks ago

Vancouver, Canada University of British Columbia Full time

Staff - Non Union

Job Category

M&P - AAPS

Job Profile

AAPS Salaried - Statistical Analysis, Level A

Job Title

Junior Data Scientist

Department

Research | Data Science Institute | Faculty of Science

Compensation Range

The Compensation Range is the span between the minimum and maximum base salary for a position. The midpoint of the range is approximately halfway between the minimum and the maximum and represents an employee that possesses full job knowledge, qualifications and experience for the position. In the normal course, employees will be hired, transferred or promoted between the minimum and midpoint of the salary range for a job.

Posting End Date

January 11, 2023

Note: Applications will be accepted until 11:59 PM on the day prior to the Posting End Date above.

Job End Date

Feb 29, 2024

There are multiple openings for this role.

Organizational Status

Work Performed

Design, develop, implement and evaluate methods, pipelines and tools for the analysis of text and quantitative data sets, which may include, but not limited to, tools for information extraction, sentiment analysis and topic modelling

Design, develop, implement and evaluate machine learning methods for building predictive models

Manage research projects and ensure all stakeholders are kept up-to-date on progress and outcomes

Communicate research goals and results to both technical and non-technical audiences

Work effectively in an interdisciplinary environment by engaging a team of clinicians and researchers from health, computer science and statistics, etc.

Contribute to curriculum and workshop development in data science and health

Deliver guest presentations and/or professional workshops on data science topics

Respect privacy and ethics around the use of sensitive and privileged data sets

Work effectively in a team environment with limited supervision

Respect and value diversity in the workplace environment

Reports to the DSI Scientific Director or designate

Consequence of Error/Judgement

The incumbent is given wide latitude for exercising independent initiative and judgment in performing specialized duties and responsibilities. A lack of judgment could harm the DSI and partner organizations' research and funding. The incumbent will interact with multiple researchers across various organizations to address their data needs and research findings, and discretion is vital.

Supervision Received

The incumbent will be able to work independently with mínimal supervision and regularly report to the DSI Scientific Director or their designate. The incumbent will also receive support from the DSI Scientific Director and research collaborators as needed to familiarize themselves with the health systems.

Supervision Given

The incumbent will assist the DSI Scientific Director and other DSI data scientists, with the supervision and mentoring of junior research trainees (e.g., co-op students).

Minimum Qualifications

Post-graduate degree in Statistics. Minimum of two years of related experience in research analysis, or the equivalent combination of education and experience.

Preferred Qualifications

M.Sc. from a qualitative research field; e.g., computer science, statistics, applied mathematics, data science; or a minimum of two years of experience in research analysis or equivalent education and experience

Knowledge and Experience

Excellent programming experience (e.g., Python, R, Java, JavaScript, C#, C++)

Excellent knowledge and experience in Natural Language Processing. Knowledge and experience of using pre-trained language models is a bonus

Excellent knowledge and experience with relational and non-relational database systems (e.g., SQL, Hive, Cassandra, MongoDB, Spark, Neo4J, Pandas)

Excellent knowledge and hands-on experience with various machine learning packages and models (e.g., PyTorch, Scikit-Learn, TensorFlow)

Knowledge and hands-on experience developing interactive visuals

Experience developing workflows and models on cloud platforms (e.g., Azure, Google Cloud, AWS)

Excellent communication skills and able to explain complex concepts to non-technical audiences

Excellent organizational skills and able to juggle multiple projects

Experience in project management is an asset but not necessary

Experience working in health is an asset but not necessary

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