Postdoctoral Research Fellow

Academic

Job Category

Faculty Non Bargaining

Job Title

Postdoctoral Research Fellow

Department

Wasserman Laboratory | Department of Medical Genetics | Faculty of Medicine (Wyeth Wasserman)

Posting End Date

March 30, 2025

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

Job End Date

Mar 31, 2026

The expected pay for this position is $5,000.00 per month.

The Centre for Molecular Medicine and Therapeutics at the University of British Columbia seeks applications for a Post-Doctoral Scientist in the Wasserman Lab working on the Silent Genomes Project.  The Wasserman laboratory partners with a strong genetics community to develop and apply computational (bioinformatics) methods to improve diagnosis for individuals with rare genetic disorders caused by variations in genome sequences. The Silent Genomes Project is a national collaboration focused on the establishment of an Indigenous Background Variant Library under Indigenous governance and oversight.  

Based on the campus of BC Children’s Hospital, the Wasserman laboratory is the lead laboratory for the technical implementation of the Indigenous Background Variant Library, including the implementation of software pipelines for processing whole genome sequence data generated at an approved genome centre, the implementation of quality control analyses, the construction of the database to host the generated genetic data and the implementation of the interface via which the data can be accessed by approved users.  The work, while computational in focus, requires close interaction with an Indigenous governance committee, collaborators and trainees.  In addition to engineering, the Wasserman laboratory seeks to develop innovative bioinformatics methods for assessing the quality of and improving the library.  The candidate will apply computational skills to develop computationally efficient and reproducible results for the detection of genetic variants across whole genome sequences, create methods to separate shared from not shared genetic variation data from related individuals, create methods to predict the number of novel genetic variants (compared to an existing background variation database), and develop procedures for assessing the presence of structural variants, initially detected in long-read sequencing data, in short-read whole genome sequence data, and contribute to the development of scientific manuscripts, reports and funding applications.  Central to the work, is extraordinary attention to the sensitivity of the data being processed, with particular emphasis on the rights of Indigenous peoples and the central importance of adhering to the Indigenous governance procedures within the project. Experience with whole genome sequence processing and analysis, pipeline management software (e.g. Nextflow) and working with highly sensitive genetic data are strong advantages.   

Organizational Status

This is a leadership role, requiring a high degree of independence, initiative and professional judgement.  The successful candidate reports to and receives guidance from Dr. W. Wasserman (Professor, Medical Genetics, Project Leader).  The successful candidate supervises staff members and possibly University students or volunteers working on Silent Genomes.  They will contribute to development of reports for oversight bodies and funding organizations. 

Supervision Received

The incumbent works with wide latitude and demonstrates a high degree of independence.  They report to and receive guidance from Dr. W. Wasserman (Professor, Medical Genetics, Project Leader)

Supervision Given

The incumbent provides expertise to project team members, including  University students and other trainees participating on the Silent Genomes project. 

Consequence of Error/Judgement

Lack of careful attention to protocols and regulatory and ethical guidelines could suspend the Investigator and/or University as a site for further research and/or funding. Performance must strictly conform to research protocols, Tri-Council policy statement, and standard Canadian guidelines for health research involving Indigenous People.

A high level of cultural competency and sensitivity is necessary in this position, as any insensitive actions could jeopardize our longstanding research relationship with the Indigenous communities we work with.

Errors in the dissemination of DNA sequence data or any breach of confidentiality could jeopardize this research study and Dr. Wasserman’s research program. A confidentiality agreement must be signed, stating that any identifying and/or personal information will be held in the strictest confidence. 

Work Performed

• Conduct research by developing and applying computational methods for the identification and counting of DNA sequence variants in whole genome sequencing data
• Establish clear documentation and standard operating procedures for others to follow
• Interact with an Indigenous governance committee composed of individuals of diverse experience, including research, governance and non-research backgrounds
• Interact closely with clinicians to explore how a reference database of genetic variation could best support the diagnosis of individuals with rare genetic conditions
• Apply skills to improve the computational efficiency of genetic variation detection to allow analyses across a large number of samples
• Present findings in local, national and international meetings involving Indigenous health and/or Indigenous research topics; meetings at which awareness, sensitivity and commitment to Indigenous data sovereignty must be conveyed effectively
• Present findings at local, national and international scientific meetings where the impression can have direct influence on future scientific funding
• Write manuscripts describing the findings and bioinformatic methods output from the research
• Assist in the development of grant and scholarship applications related to the research

Minimum Qualifications

• Ph.D. degree in a computational or life sciences discipline
• Experience in bioinformatics with focus on genome sequence data processing and analysis
• Knowledge of bioinformatics, with emphasis on genome sequence analysis and gene annotation
• Advanced in Python programming
• Proficient with the Linux operating system
• Proficient in performing analyses on high performance compute clusters involving job scheduling queues
• Demonstrated capacity to write scientific manuscripts
• Demonstrated capacity to maintain and share software in GitHub or similar repository
• Excellent interpersonal manner and communication skills, including clear, concise writing skills
• Excellent organizational, time-management and problem-solving skills, with a strong attention to detail
• Drive and enthusiasm to both lead and work as a member of a team
• Creativity, initiative and good judgement for multi-tasking in a deadline-oriented environment
• Enthusiasm for highly interdisciplinary research and dedication to explore emerging techniques

Preferred Qualifications

• Proficient in R statistics programming
• Use of project management tools for scientific interaction, such as wikis or shared document repositories – Confluence preferred
• Indigenous lived experience or substantive understanding of the experience of Indigenous peoples in Canada or abroad
• Research experience in Indigenous health and/or research will be considered an asset
• Successful completion of Tri-Council Policy Statement (TCPS) online tutorial (may be completed upon hiring)
• Successful completion of an Indigenous Cultural Safety Course (may be completed upon hiring)