Bioinformatics Research Assistant

University of British Columbia

Vancouver

On-site

CAD 39,000 - 45,000

Part time

10 days ago

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Job summary

University of British Columbia invites a Bioinformatics Research Assistant to join the Uterine Health Research Lab in the Obstetrics & Gynecology department. You will support genomics analyses, focusing on SNV calling, microbiome profiling, and benchmarking in a high-throughput setting.

Working under the PI, you will develop reproducible workflows, review literature, and contribute to data-driven publications while mentoring undergraduate students and coordinating with senior staff.

Qualifications

  • High school graduation with some related field training or experience.
  • Two years of related experience or equivalent education and training.

Responsibilities

  • Process and quality-control high-throughput sequencing data including read trimming and alignment.
  • Perform SNV calling and microbiome profiling from sequencing data using established pipelines.
  • Benchmark variant calling tools by comparing performance, accuracy, and efficiency.
  • Develop and maintain reproducible analysis workflows using Bash and Snakemake.
  • Document analyses and results for internal use and publications.
  • Supervise junior lab members and guide bioinformatics pipelines.

Skills

Bash scripting
Literature review
Data analysis
Communication

Education

High school diploma

Tools

Snakemake
Mutect2
Strelka
LoFreq

Job description

Staff - Non Union

Job Category

Non Union Technicians and Research Assistants

Job Profile

Non Union Hourly - Research Assistant /Technician 2

Job Title

Bioinformatics Research Assistant

Department

Talhouk Laboratory | Department of Obstetrics & Gynaecology | Faculty of Medicine

Compensation Range

$28.29 - $33.66 CAD Hourly

Posting End Date

August 20, 2026

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

Job End Date

February 28, 2027

This position is expected to be filled by promotion/reassignment and is included here to inform you of its vacancy at the University.

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 Uterine Health Research Lab in the Department of Obstetrics and Gynecology is seeking an experienced Bioinformatics Research Assistant who will support research exploring the utility of the vaginal microbiome individually and in combination with cell‑free DNA and DNA methylation markers, for improved screening and detection of endometrial cancer. The successful candidate will assist in analyzing high throughput sequencing data, focusing on single nucleotide variant (SNV) calling, benchmarking tools, and generating performance metrics. This position provides hands‑on experience in computational genomics, reproducible research workflows, and literature‑driven problem solving.

Organizational Status

The Uterine Health Research Lab is conducting ongoing research studies aimed at improving the prevention and early detection of gynecologic pathologies. The Bioinformatics Research Assistant will work under the supervision of the principal investigator (PI) to fulfill research‑related responsibilities in a professional and ethical manner. The research team is also part of the BC’s Gynecologic Cancer Initiative, which is a world‑leading, interdisciplinary team working together to drive innovative research that transforms how we prevent, diagnose, treat and improve survivorship care for people with gynecological cancer.

Work Performed

The individual will work in collaboration with Dr. Aline Talhouk’s research team with the following key responsibilities:

Assist in processing and quality‑controlling high‑throughput sequencing data, including read trimming, alignment, sorting, indexing, duplicate marking, and base quality score recalibration.

Perform SNV calling and microbiome profiling from sequencing data using established bioinformatics pipelines.

Benchmark variant calling tools by comparing performance, accuracy, and computational efficiency.

Leverage databases and statistical tools to filter SNVs.

Assist in generating and interpreting metrics to assess tool performance and data quality.

Conduct literature reviews to identify best practices, tools, and methods relevant to the project.

Assist in developing and maintaining reproducible analysis workflows using Bash and Snakemake.

Document analyses and results clearly for both internal use and potential publications.

Delegate responsibilities to undergraduate students and other junior members of the lab, providing guidance on bioinformatics pipelines protocols and reproducible workflows.

Compile and interpret results and prepare a report of statistical findings.

Attend team meetings and 1-on-1 meetings with the principal investigator and senior lab staff.

Consequence of Error/Judgement

The Bioinformatics Research Assistant will be granted substantial independence in their role and must demonstrate exceptional judgment, responsibility, and initiative in conducting data analysis and ensuring the successful and timely completion of tasks.

Supervision Received

The Bioinformatics Research Assistant will report to Dr. Aline Talhouk.

Supervision Given

The Bioinformatics Research Assistant may help to supervise undergraduate students.

Minimum Qualifications

High school graduation, some additional training in a related field and a minimum two years of related experience or an 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
  • Undergraduate in bioinformatics, computational biology, computer science, molecular biology, or related fields
  • Foundational knowledge of genomics and bioinformatics concepts, particularly SNV calling using Mutect2, Strelka, LoFreq.
  • Strong command of Bash scripting and experience with workflow management tools such as Snakemake.
  • Ability to critically read and interpret scientific literature.
  • Experience benchmarking computational tools and interpreting performance metrics.
  • Clear written and verbal communication skills to document findings and present results, and strong attention to detail.
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