Application Deadline

Job Summary

A position with the Department of Pathology and Laboratory Medicine of the University of British Columbia is open immediately for a data manager to work with our interdisciplinary team of researchers and software developers within the Department of Molecular Oncology at BC Cancer Research, part of the Provincial Health Services Authority. We are seeking a creative, experienced, and dedicated individual to play a key role in managing large amounts of experimental and computational genomic research data.

The data manager will become the point person for data needs for both dry and wet lab researchers, students, and managers.  They will be responsible for the accurate organization and curation of thousands of patient’s worth of genomic, administrative, experiment, and sequencing data.  They will work closely with developers to develop computational solutions for storing, organizing, and distributing all the aforementioned data.  They will enact, educate and enforce data storage policies to ensure the organization of the database.  They will be responsible for the resolution of errors existing in database and optimizing costs for existing repositories.

You will be on-site in the Department of Molecular Oncology at BC Cancer, working closely with software developers, students and researchers operating at the leading edge of the field of cancer genomics.  Our department has recently made meaningful advances in understanding of tumour evolution and the software platforms developed in the lab will be used by world-leading scientists at BC Cancer and international collaborators to gain insight into how cancers initiate, develop and acquire resistance to treatment. More information on the lab, please visit https://aparicio.molonc.ca

Organizational Status

We are a small team of software developers and scientists embedded within a larger cancer research lab.  You will be working closely with researchers and developers to ensure the smooth daily operations of the team and the department in their data input and query needs.  You will be reporting to the principle investigator or designate.

Work Performed

  • Research and design data storage policy and best practices pertaining to items such as organization, privacy, security and ethics
  • Implement and enforce data storage best practices on research data
  • Collaborate with developers and researchers to design and create data storage solutions for data from various sources including: administrative, medical, experimental, genomic
  • Ensure the valid and correct entry of data into storage solutions
  • Assist researchers and developers with their data query needs
  • Assist researchers and manager in creating and reviewing data sharing agreements with other researchers and collaborators outside the group

Consequence of Error/Judgement

You will be independently responsible for the smooth daily data operations of the lab as required by the users or the system.  You will be deciding and carrying the best course of action for unforeseen issues and problems involving data input, validation, query and delivery.  Failure to perform may cause minor operational setbacks to reputational and financial impact in the publication and research process.

Supervision Received

You will be supervised by the principle investigator or designate.

Supervision Given

You will help advise and recommend best course of actions to other members of the lab on subjects pertaining to data access and your field of expertise.

Qualifications

Undergraduate or certified degree in information technology, programming or relevant discipline as determined by employer. Minimum of one year of related experience, or the equivalent combination of education and experience.

  • Excellent documentation and organization skills
  • Excellent professionalism and persistence 
  • Friendly and personable with excellent communication skills
  • Experience managing large volumes of complex data
  • Experience in basic scripting
  • Familiarity with scripting and automation
  • Background in biology and/or computational biology preferred
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