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Analyst

DNAstack -

The Bioinformatics Customer Success Specialist makes sure every customer gets accurate, timely, and dependable results from the DNAstack platform. You are the technical owner of the customer experience after go-live: the first responder when a run fails, the person who confirms a result is right before it ships, and the voice that brings customer pain points back to engineering and product.

This is a growth-oriented role for an M.S.-level bioinformatician who enjoys both the science and the people. You will start on the front line of our operations: resolving support tickets, monitoring production pipelines across AWS and GCP, running and validating sample batches, and preparing custom deliverables for partners. That work gives you an intimate view of our architecture and of what customers actually need.

As your expertise grows, you will move from fixing issues to preventing them. You will build quality checks and regression tests, benchmark new tools against reference standards, maintain pipeline dependencies, and help set the reliability standards that our clinical and research customers depend on.

114 days ago

Analyst

University of Alberta -

  • Job Identification: 4047
  • Job Category: Administrative Management
  • Posting Date: 06/22/2026, 02:31 PM
  • Apply Before: 07/06/2026, 11:59 PM
  • Job Schedule: Full time
  • Locations: Edmonton, AB, Canada(On-site)
  • Category Type: Academic
  • Position Type: Trust Research Academic Staff (TRAS)
  • College/Administrative Portfolio: College of Health Sciences
  • Faculty/Department: Medicine + Dentistry
  • Annual Salary Range: $63,465 to $79,339

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.

136 days ago

Analyst

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

185 days ago

Analyst

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.

190 days ago

Analyst

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.