Technical Specialist (Genome Specialist)
Quick Summary
The Hamilton Regional Laboratory Medicine Program (HRLMP) is a collaborative program funded and operated jointly by Hamilton Health Sciences and St. Joseph's Hospital.
The Hamilton Regional Laboratory Medicine Program (HRLMP) is a collaborative program funded and operated jointly by Hamilton Health Sciences and St. Joseph's Hospital. The Program is committed to change and innovation through education, service and research; to bring the highest quality science into health care for the benefit of the community, and to participate in the clinical application, delivery and interpretation of that science.
The Hamilton Regional Laboratory Medicine Program (HRLMP) is seeking a Genome Specialist to manage, analyze, and interpret clinical genetic data. As a team member, you will assist in analyzing and interpreting clinical data derived from high throughput genotyping and sequencing platforms. You will work closely with members of the Hamilton Regional Genetics Program and as well as other key partners and collaborators.
Interpret and analyze genetic and genomic variants from next generation sequencing and SNP analyses, progressing from raw data to variant annotation and classification, including both somatic and germline testing using multiple molecular platforms and methodologies
Prepare draft clinical reports, in accordance with current nomenclature and guidelines for variant interpretation (e.g. ACMG, HGVS, ISCN) for review and reporting by Clinical Laboratory Scientists
Conduct comprehensive literature reviews, database searches, and bioinformatics analyses to evaluate the clinical significance and disease association of sequence, copy-number, structural, and epigenomic variants.
Keep abreast of new and emerging technologies and literature pertaining to high throughput (epi) genomic analysis, variant detection and variant interpretation, provide advice to laboratory leadership and implement adaptive changes to the pipeline as needed to ensure continuous optimization of data processing and quality
Provide technical guidance and support for systems used by laboratory scientists for variant visualization, annotation, filtering, review, and interpretation.
Collaborate with informatics team to maintain data storage systems for NGS-related data in accordance with applicable clinical diagnostic laboratory requirements.
Troubleshoot and resolve issues related to software used to detect and interpret clinical significance of sequence and copy number variants (e.g. Mutation Surveyor, NextGene ,Ion Reporter, Alamut, Gene Marker, Affymetrix GeneChip Command Console (AGCC) and Chromosome Analysis Suite (ChAS)).
Contribute to new test development, validation and implementation of new technologies
Contribute to existing laboratory quality management system and accreditation requirements to ensure quality and safety metrics are followed
Collaborate with the Hospital’s HITS Department in the resolution of IT issues as required.
Participate in the education and training of CCMG Fellows, Michener Students and other learners in genomic analysis, variant interpretation, and related laboratory workflows.
Apply subject-matter expertise and laboratory experience to guide, mentor and support trainees and new staff.
Attend and contribute to staff meetings.
Monday to Friday, days
Essential:
Master’s Degree or Ph.D. in molecular biology, genetics or a relevant field such as bioinformatics, computer science or mathematics, with applicable clinical genomics experience.
Experience working with next-generation sequencing data: ThermoFisher and Illumina base calling, sequencing quality control, sequence alignment, variant calling and annotation, RNA-sequencing analysis, germline and somatic mutational events, copy number variants etc.
Experience with relevant public databases (e.g., Variant databases, Gene Ontology, UCSC Genome Browser)
Excellent written and communication skills
Preferred:
Experience working with SNP-microarray analysis
Experience with epigenomic data analysis
Programming skills in at least one programming language such as Python, Perl, R, C++, MySQL, UNIX shell, Java, Matlab programs
Experience developing NGS bioinformatics pipelines
Hamilton Health Sciences fosters a culture of patient and staff safety, whereby all employees are guided by our Mission, Vision, Values, and Values Based Code of Conduct. Hamilton Health Sciences is a teaching hospital and all staff and physicians are expected to support students and other learners.
To be considered for this opportunity applicants must apply during the posting period. All internal and external applicants may ONLY apply via the Careers website. This job posting is for an existing vacancy.
Hamilton Health Sciences is an equal opportunity employer and we will accommodate any needs under the Canadian Charter of Rights and Freedom, Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. Hiring processes will be modified to remove barriers to accommodate those with disabilities, if requested. Should any applicant require accommodation through the application processes, please contact Human Resources at 905-521-2100, Ext. 46947 for assistance. If the applicant requires a specific accommodation because of a disability during an interview, the applicant will need to advise the hiring manager when scheduling the interview and the appropriate accommodations can be made.
This competition is open to all qualified applicants, however, qualified internal applicants will be considered first. Past performance will be considered as part of the selection process. If you are a previous employee of Hamilton Health Sciences, please note: the circumstances around an employee's exit will be considered prior to an offer of employment. Proficiency in both Official Languages, French and English, is considered an asset.
If this position is temporary, selection for this position will be as per the outlined Collective Agreements:
Article 30 (k), CUPE Collective Agreement
Article 10.7 (d), ONA Collective Agreement
Article 13.01 (b) (ii), OPSEU 273 Collective Agreement
Article 14.04, OPSEU 209 Collective Agreement
Article 2.07 and Article 13, PIPSC RT Collective Agreement
Location & Eligibility
Listing Details
- First seen
- October 1, 2026
- Last seen
- October 1, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- October 1, 2026
Signal breakdown
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