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Genomic Data Science Jobs in Ontario (NOW HIRING)

In this role, you will work on translating data science concepts into scalable, production-ready ... You will help build and maintain systems that process genomic data efficiently, ensuring that our ...

... data sharing, discovery, and analysis. We build cutting-edge software and industry standards to ... scientists, engineers, designers, and product thinkers working at the intersection of genomics ...

Strong understanding of genomics and bioinformatics, with the ability to engage in scientific discussions and shape technical direction. * Experience with core bioinformatics tools and data types (e ...

GCS-native data access patterns for large genomics file types (BAM, h5ad, Visium) and distributed ... Degree in Computer Science, Computer Engineering or related field * Self-starter attitude ...

Own commercial data governance anda single sourceof truth across core datasets, including CRM, ... Life sciences, diagnostics, biotechnology, genomics, molecular diagnostics, or ...

Our mission is Science for a Safer World. With a successful Talent Acquisition team, we help bring ... Detail-oriented with a strong focus on data and accuracy. * Enthusiastic and eager to learn and ...

We innovate and apply science in order to ensure the safety and integrity of products and services ... Analyze data acquired and identify out-of-specification (OOS) results * Participate in routine ...

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Genomic Data Science information

What is genomic data science?

Genomic data science is an interdisciplinary field that focuses on analyzing and interpreting vast amounts of genetic and genomic data using computational and statistical methods. Professionals in this field use bioinformatics tools, machine learning, and data analysis techniques to uncover insights about genes, diseases, evolution, and biological processes. Genomic data scientists often work with large datasets from next-generation sequencing and collaborate with biologists, clinicians, and researchers to advance our understanding of genetics and its applications in medicine and research.

How does a genomic data scientist typically collaborate with multidisciplinary teams in research or healthcare settings?

Genomic Data Scientists often work closely with biologists, clinicians, statisticians, and software engineers to interpret complex genomic datasets. Collaboration usually involves translating biological questions into analytical tasks, developing and applying computational pipelines, and communicating findings in accessible terms. Regular meetings, shared project management tools, and cross-disciplinary workshops are common, fostering an environment where diverse expertise is integrated to advance research or clinical objectives. This collaborative approach not only enhances the quality of insights but also provides opportunities for professional growth and learning from adjacent fields.

What are the key skills and qualifications needed to thrive as a genomic data scientist, and why are they important?

To excel as a Genomic Data Scientist, you need a strong background in bioinformatics, genetics, and statistical analysis, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools like Python, R, next-generation sequencing (NGS) platforms, and databases such as Ensembl is crucial, as is experience with cloud computing or high-performance computing environments. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are vital soft skills in this role. These competencies enable accurate data interpretation, effective collaboration, and innovative research that advances our understanding of genomics.

What is the difference between Genomic Data Science vs Bioinformatics?

AspectGenomic Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large genomic datasets, developing algorithmsSequence analysis, genome annotation, biological data interpretation
Common Search IntentData analysis in genomics, computational methods for geneticsGenomic sequence analysis, biological data processing

While both roles involve working with genomic data, Genomic Data Science focuses on applying data science techniques, machine learning, and statistical analysis to large genomic datasets. Bioinformatics emphasizes biological sequence analysis, genome annotation, and biological interpretation. Both fields often overlap but differ mainly in their core focus: data science methods versus biological data analysis.

What are popular job titles related to Genomic Data Science jobs in Ontario?

For Genomic Data Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Genomic Data Science jobs in Ontario look for?

The top searched job categories for Genomic Data Science jobs in Ontario are:

Infographic showing various Genomic Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Program Coordinator, STAGE (2Y Term, 50% FTE)

University of Toronto

Toronto, ON โ€ข On-site

Full-time

Posted 23 days ago


Job description

Date Posted: 08/04/2026
Req ID: 49671
Faculty/Division: Faculty of Arts & Science
Department: Data Sciences Institute
Campus:ย St. George (Downtown Toronto)
Position Number: 00055565
Existing Vacancy: Yes

Description:

About us:
Founded in 1827, the University of Toronto has evolved into Canada's leading institution of learning, discovery and knowledge creation. We are proud to be one of the world's top research-intensive universities, driven to invent and innovate. U of T is home to some of the world's most talented thinkers, inventors, innovators, and educators, who are advancing knowledge and making critical discoveries for a healthier, more sustainable, prosperous, and secure future.
The Data Sciences Institute (DSI) is a specialized research initiative at the University that draws on world-class research expertise across multiple academic divisions, affiliated hospitals, regional, national, and international academic partners, and commercial organizations. The mission of the DSI is to provide the leadership and capacity to catalyze the transformative nature of data sciences across disciplines, leveraging and strengthening U of T's preeminence in data sciences to solve society's complex problems. DSI aims to unify and galvanize the core strengths of Toronto's data science community building capacity for data and computational-based research and training by being the focal point for thecoordination of data science and AI activities and partnerships to further elevate UofT's global stature.
DSI, in collaboration with national partners, is the recipient of a prestigious NSERC CREATE award to launch a Canada-wide program to support core training and research areas that are central to future breakthroughs in biomedical science. STAGE will bring together experts in genetic epidemiology, statistical genetics, computer science, AI, population health and other research areas totrain graduate students and postdoctoral fellows to work across disciplinary boundaries. The goal of STAGE is to equip fellows with both technical depth and professional skills so they can translate complex genomic data into meaningful scientific and health insights within academia, healthcare, industry, and government.
Your opportunity:
The STAGE Program Coordinator plays a pivotal role in promoting, coordinating, supporting and advancing the STAGE training program. This role is critical for the consistent and equitable operation of a large-scale, multi-institutional training initiative. The Coordinator will support the operational and logistical implementation of the STAGE program, including managing applications, selection processes, and awards; support the governance committees; liaise with regional nodes; respond to inquiries; administer evaluations and surveys; operationalize and organize events; and, prepare quarterly and annual reports forthe program's targets and financial requirements The Program Coordinator will report to the DSI Director, working closely with the STAGE Committee co-leads. The role works closely with the CANSSI ON Communications and Program Officer, and DSI staff to support the execution of applications and promotions.
Your responsibilities will include:

  • Conducting detailed data analysis to inform recruitment strategies and plans and preparing draft statistical reports and summaries from data collected
  • Building and strengthening relationships with stakeholders and partners of strategic importance
  • Developing plans that support recruitment strategies and tracking the status of applications
  • Providing detailed information on program and/or course eligibility requirements, procedures, policies and deadlines
  • Applying established standards when confirming eligibility and determining which applications to refer to committee for selection
  • Conceptualizing, organizing and executing event activities; conducting post-event evaluation and analysis
  • Coordinating meeting schedules, preparing meeting agendas, materials, action and follow-up items
  • Monitoring, recording, reconciling and/or reporting on funding accounts for grants and contracts

Essential Qualifications:

  • Bachelor's Degree preferably in sciences, or acceptable combination of equivalent education and experience. A graduate degree in sciences is an asset.
  • Minimum four (4) years of recent and relevant experience implementing and supporting training programs and promotional strategies in a University or academic environment.
  • Experience drafting academic-specific communications (calls, recipient announcements, newsletter and reviewing web copy).
  • Experience working with faculty members and scientists
  • Experience developing professional programming for graduate students and postdoctoral fellows.
  • Experience with tri-agency grant requirements and reporting, including financial reporting.
  • Excellent experience writing and editing content.
  • Experience in launching online program application platforms, including incorporatingEDI requirements.
  • Experience conceptualizing, organizing, and executing logistics for in-person and online events - seminar series, lecture series, workshops, and annual symposiums at multiple host institutions.
  • Demonstrated experience indeveloping briefing documents, presentations, financial reports, and coordinating committee materials
  • Outstanding skills in writing and editing.
  • Excellent verbal and written communication and interpersonal skills.
  • Excellent organizational and problem-solving skills.
  • Intermediate to advanced skills in Microsoft Word, Excel, PowerPoint, Teams.
  • Ability to work independently on assigned tasks while taking direction and having sound judgement on when to escalate.


To be successful in this role you will be:

  • Assertive
  • Communicator
  • Diligent
  • Organized
  • Resourceful

Note: this is a part-time, two year term position at 50% FTE.ย 

This role is not currently eligible for a hybrid work arrangement, pursuant to University policies and guidelines, including but not limited to the ย University of Toronto's Alternative Work Arrangements Guideline.

Closing Date: 08/17/2026, 11:59PM ET
Employee Group: USWย 
Appointment Type: Budget - Termย 
Schedule: Part-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 12 -- $81,312. with an annual step progression to a maximum of $103,986. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.ย 
Job Category: Student Services
Recruiter: Carolyn Wright

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

Job descriptions are available upon request for internal applicants.