Bioinformatics Scientist - Aparicio
Apply NowCompany: The University of British Columbia
Location: Vancouver, BC V5K 5J9
Description:
Staff - Non Union
Job Category
M&P - AAPS
Job Profile
AAPS Salaried - Statistical Analysis, Level A
Job Title
Bioinformatics Scientist - Aparicio
Department
Aparicio Laboratory | Department of Pathology and Laboratory Medicine | Faculty of Medicine
Compensation Range
$6,251.00 - $8,986.00 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 11, 2025
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
Jun 1, 2026
The anticipated start date for this position is June 2 , 2025. The term is for one year with the possibility of extension.
In your application please include (1) a cover letter, and (2) a CV or resume.
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
A position with the Department of Pathology and Laboratory Medicine of the University of British Columbia is open immediately for a bioinformatics scientist to work within the Aparicio lab (https://aparicio.molonc.ca). Our interdisciplinary team includes over 30 lab researchers, technicians, computational biologists, software developers and engineers part of the Department of Molecular Oncology at the BC Cancer Research Institute. We are seeking a creative, experienced, and dedicated individual with experience in genomic data analysis to play a key research role in the bioinformatics analysis of computational genomic research data, applied to translational oncology and drug development.
The bioinformatics scientist will work closely with other bioinformaticians and researchers in the department to carry out computational analysis requests and data exploration in projects addressing variants and aberrations in next-generating sequencing data, in both bulk and single cell genomes and transcriptomes. Following directions from the research leads of the lab, you will implement and carrying out bioinformatics solutions to computational and statistical inquiries to forward the research of projects and operations in the lab. You will be responsible for the smooth production of data exploration results from automated high-throughput analysis pipelines. You will contribute with the design, testing and development of new bioinformatics workflows for the lab.
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 tumor evolution, translational oncology and drug development. Data, software platforms and computational methods 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 department and research we conduct can be found here 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 with developers and bioinformaticians to provide computational analysis and solutions to researchers and trainees in the department. You will be reporting to the lab head Professor Aparicio or as designated, to the bioinformatics team lead.
Work Performed
Consequence of Error/Judgement
You will be receiving instructions from senior team members and they will be accountable for your work. Failure to perform may results in setbacks to research and operational activity.
Supervision Received
You will be supervised by the bioinformatics team lead or designate.
Supervision Given
You may help advise and recommend the best course of actions to other members of the lab on subjects pertaining to bioinformatics analysis and your field of expertise.
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.
- 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
Job Category
M&P - AAPS
Job Profile
AAPS Salaried - Statistical Analysis, Level A
Job Title
Bioinformatics Scientist - Aparicio
Department
Aparicio Laboratory | Department of Pathology and Laboratory Medicine | Faculty of Medicine
Compensation Range
$6,251.00 - $8,986.00 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 11, 2025
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
Jun 1, 2026
The anticipated start date for this position is June 2 , 2025. The term is for one year with the possibility of extension.
In your application please include (1) a cover letter, and (2) a CV or resume.
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
A position with the Department of Pathology and Laboratory Medicine of the University of British Columbia is open immediately for a bioinformatics scientist to work within the Aparicio lab (https://aparicio.molonc.ca). Our interdisciplinary team includes over 30 lab researchers, technicians, computational biologists, software developers and engineers part of the Department of Molecular Oncology at the BC Cancer Research Institute. We are seeking a creative, experienced, and dedicated individual with experience in genomic data analysis to play a key research role in the bioinformatics analysis of computational genomic research data, applied to translational oncology and drug development.
The bioinformatics scientist will work closely with other bioinformaticians and researchers in the department to carry out computational analysis requests and data exploration in projects addressing variants and aberrations in next-generating sequencing data, in both bulk and single cell genomes and transcriptomes. Following directions from the research leads of the lab, you will implement and carrying out bioinformatics solutions to computational and statistical inquiries to forward the research of projects and operations in the lab. You will be responsible for the smooth production of data exploration results from automated high-throughput analysis pipelines. You will contribute with the design, testing and development of new bioinformatics workflows for the lab.
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 tumor evolution, translational oncology and drug development. Data, software platforms and computational methods 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 department and research we conduct can be found here 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 with developers and bioinformaticians to provide computational analysis and solutions to researchers and trainees in the department. You will be reporting to the lab head Professor Aparicio or as designated, to the bioinformatics team lead.
Work Performed
- Provides consultation to researchers on study design, analysis, and statistical methods
- Perform bioinformatics analysis and research requests for novel and ongoing projects
- Research and implement bioinformatics solution as requested
- Collaborate with developers and researchers to test and deploy bioinformatics software
- Designing and implementing analysis workflows and pipelines
- Handle bioinformatics data retrieval, processing and dissemination requests
- Advise researchers in computational, statistical and visualization tasks for publication
Consequence of Error/Judgement
You will be receiving instructions from senior team members and they will be accountable for your work. Failure to perform may results in setbacks to research and operational activity.
Supervision Received
You will be supervised by the bioinformatics team lead or designate.
Supervision Given
You may help advise and recommend the best course of actions to other members of the lab on subjects pertaining to bioinformatics analysis and your field of expertise.
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.
- 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
- Post-graduate degree in computer science, bioinformatics, or equivalent preferred
- Expertise with command-line interfaces and scripting in UNIX operating systems
- Expertise with next-generation sequencing (NGS) data
- Excellent communicator and professionalism
- Experience designing and creating analysis workflows and pipelines
- Proven publication record and bioinformatics research experience
- Experience with scientific high performance computing environments
- Experience with large scale multi-omics research
- Experience with human disease and cancer genomics