Jobs
19 days ago
University of Alberta -
About the Job
This position has an initial appointment of 1 year, with possibility of renewal.
Location – This role is in-person at North Campus Edmonton.
Under the direction of the Director, Advanced Cell Exploration Core, the Bioinformatics Analyst will be a member of the services team at the Faculty of Medicine & Dentistry (FoMD) Core Research Facilities. Supporting more than 200 research groups annually, our mission is to facilitate impactful research through access to cutting edge infrastructure and services from project design to data analysis.
This position will perform advanced bioinformatics analyses that enable the interpretation of data generated by various biological assays to support research projects conducted in the FoMD Core Facilities. The successful incumbent will analyze and visualize datasets with excellent standards of coding and documentation. In consultation with the Director, Advanced Cell Exploration Core, they will develop and implement computation pipelines, statistical analysis plans, and standardized reports. The successful applicant will collaborate with principal investigators, research trainees and staff, and other FoMD Core staff to synthesize project data, define analytical parameters, formulate and execute analysis plans, and fulfill data delivery and visualization requirements. They will also contribute to user training, including the delivery of non-course related teaching including bioinformatics workshops for staff and students.
41 days ago
DNAstack -
At DNAstack, our mission is to power precision medicine by building software that breaks down barriers to responsible biomedical data sharing, discovery, and analysis. We build cutting-edge software and industry standards to help researchers and clinicians analyze sequencing data and make faster, more accurate diagnoses.
We’re looking for an experienced Bioinformatics Analyst to join our bioinformatics team on a full-time, 12-month contract. You’ll be responsible for developing, optimizing, and maintaining high-performance, cloud-ready genomic pipelines that can be run reproducibly and at scale.
You’ll work both independently and directly with external researcher partners in order to investigate, compare, and validate different approaches to omics data analysis, creating custom tools and pipelines where needed. Projects span a wide range of disease areas and data modalities, including multi-omics integration, spatial and single-cell transcriptomics, and cross-cohort analysis on federated cloud research platforms.
Location: Toronto, Ontario (Remote)
Employment Type: Full-Time, 12-month contract
Salary Range: $100,000 to $150,000
90 days ago
Ontario Institute for Cancer Research -
Position: Bioinformatician II
Location: MaRS Centre, Toronto
Department: Computational Biology (Pai Lab)
Reports To: Principal Investigator I
Hiring Range: $66,000 – $74,100 per annum commensurate with level of experience; total compensation includes a competitive benefits plan, plus a defined benefit pension plan (HOOPP)
Hours: 35 hours/week
Job Type: Hybrid
Status: Full-time, Temporary (1-year contract)
The Ontario Institute for Cancer Research (OICR) is looking to fill an existing vacancy for a Bioinformatician II to join the Computational Biology team.
The Bioinformatician II will support research projects involving genomic analysis, particularly of single-cell genomics data. The successful candidate will work closely with computational biologists and wet-lab scientists to process, analyze, and interpret single-cell and bulk tissue ‘omic data. The immediate team need is for single-cell RNAseq and ATACseq analysis for an exciting ongoing project with prospect of manuscript submission within the year. This role is ideal for candidates interested in applying computational methods to biological questions in a collaborative research environment.
This position is temporary, full-time for one-year.
95 days ago
5 Prime Sciences -
We are seeking a Genetic Epidemiologist or Statistical Geneticist to join our multidisciplinary team advancing genetics-first drug discovery. You will conduct large-scale genetic analyses, including GWAS, MR, and multi-omic QTL studies, using individual- and summary-level data. Your role will involve building reproducible analytical workflows in Python, applying core statistical methods, and employing best practices in version control, containerisation, and data provenance. Success in this role requires strong analytical skills, experience with population-scale genomics datasets and bioinformatics tools, and the ability to manage multiple scientific projects. You will work closely with colleagues across disciplines and contribute to clear, insightful client communications.
112 days ago
University of British Columbia -
Job Summary
The Edwin S. H. Leong Centre for Healthy Aging (ELCHA) is seeking a highly motivated and ambitious Data Analyst for the Canadian Microbiome Mapping Initiative (CMMI). The primary goal of the CMMI is to develop an integrated multi ‘omics platform to investigate the biological mechanisms and pathways by which the microbiome influences health and disease. This will include investigations into healthy aging as well as validation of the platform in clinical contexts, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database development teams and facilitate the integration, analysis, and interpretation of datasets.
Organizational Status
The CMMI is a large, collaborative initiative involving investigators in the ELCHA, other UBC research centres, and external collaborators.
The position works under the scientific and technical guidance of the CMMI Data Integration and Analysis Committee (Dr. Raymond Ng, Dr. Emilia Lim, and Dr. Keegan Korthauer), and reports to the CMMI Project Manager for day-to-day operations, prioritization, and project delivery.
The position also works in close collaboration with CMMI investigators, bioinformaticians, laboratory personnel, and research staff. The position will provide technical supervision and mentorship to computational biology trainees, technicians, and graduate students, as appropriate.