Manager, Data Science, PROOF Centre

Staff - Non Union

Job Category
M&P - AAPS

Job Profile
AAPS Salaried - Statistical Analysis, Level B

Job Title
Manager, Data Science, PROOF Centre

Department
Tebbutt Research Laboratory | UBC James Hogg Research Centre | Faculty of Medicine

Compensation Range
$7,400.83 - $11,540.42 CAD Monthly

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
May 21, 2024

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

Job End Date

Jun 30, 2025

At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. 

Job Summary

The Manager of Data Science is responsible for leading, overseeing and managing all computational aspects of research carried out at the PROOF Centre of Excellence. This includes statistical considerations, data management, management of computational staff and students. The incumbent will, develop, and conduct statistical and data mining analyses to identify and evaluate predictive, diagnostic, and prognostic biomarkers for various health outcomes.

Major responsibilities include being part of the PROOF Centre of Excellence management team; designing and developing data analysis software; managing the Centre’s large and growing collection of molecular data; performing statistical analysis and modeling of big data, including various omic data (e.g., transcriptomics, proteomics, metabolomic, and epigenetics measurements); writing statistical and data analysis plans, reports, research proposals, and publications; and supervising junior computational staff and students.​

Organizational Status

The incumbent works with minimal supervision and consults with Scott J. Tebbutt, Chief Scientific Officer and Chief Executive Officer, PROOF Centre of Excellence.
Work Performed

PROOF Operations

• Develops and manages relationships and collaborations with external partners, funders, clients, and potential partners to create and expand opportunities for collaborations with local and regional communities.
• Develops and leads commercialization and clinical translation activities.
• Collaborates with hospital and UBC departments, stakeholders, and partner organizations to clinically translate biomarker solutions.
• Develops grant applications, proposals and budgets.

Knowledge Mobilization

• Collaborates with other researchers and statisticians to share knowledge and strategies for complex data analysis.
• Prepares content for academic manuscripts, technical reports, research proposals, and presentations.
• Presents research findings to the team and outside investigators, integrating feedback.
• Presents research findings at conferences and local bioinformatics events.

Research

• Develops and designs complex and innovative statistical models and procedures for organization wide data governance.
• Manages a team that develops strategies and complex statistical computational models for the analysis of biological and other relevant data.
• Balances workload, provides technical and analytical guidance and work direction to data computation team, including scheduling, assignment of work, review of project efforts and removal of roadblocks, which inhibit project success.
• Prioritizes tasks from different projects for computation team to meet timelines.
• Provides the team with constructive feedback as it pertains to project performance.
• Ensures that team has the tools and training required to perform data analytics effectively.
• Trains new computation team staff and develops training materials.

• Evaluates and ensure sponsor/client satisfaction at completion of data-related projects.
• Promotes cross-functional working relationships with project sponsors, PROOF Management Team, project team members, vendors, and key clients.
• Develops data analysis plans.
• Oversees implementation, testing, and documentation of code developed by their team to conduct analysis.
• Develops and implements techniques for graphical visualization of the data and statistical results.
• Develops analysis protocols and standard operating procedures.
• Keeps up to date with new application, technology, and algorithmic developments and supports best practices in bioinformatics research.
• Participates in the evaluation, selection, planning and integration of technology and software solutions to further research goals.

Consequence of Error/Judgement
Errors will adversely affect the quality and continuity of research activities, PROOF Centre’s credibility, jeopardize the work of other staff, and could have serious implications as project directions and outcomes will depend on the conclusions drawn from the analyses performed.
Supervision Received
The incumbent works with minimal supervision and consults with Scott J. Tebbutt, Chief Scientific Officer and Chief Executive Officer, PROOF Centre of Excellence.
Supervision Given

This role is responsible for hiring, managing, evaluating the performance of, and terminating computational research staff within the PROOF Centre.

Minimum Qualifications
Post-graduate degree in Statistics. Minimum of three years of related experience in research analysis, or the equivalent combination of education and experience.
- Willingness to respect diverse perspectives, including perspectives in conflict with one’s own

- Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion

Preferred Qualifications

• Degree in molecular biology and computer science and/or statistics, with a minimum of 3 years of experience in biomarker discovery and high dimensional molecular (“omics”) data analysis and interpretation of large, multi-modal, molecular data.
• 3 years of experience with statistical analysis techniques and scripting languages (e.g., R and Python).
• 3 years of experience developing and implementing data-processing workflows.
• Strong creative problem-solving and analytical skills.
• Effective oral and written communication, organizational, multi-tasking, and interpersonal skills.