Bioinformatician

Canadian Bioinformatics Workshops; Province Hill; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading research institution is seeking a Bioinformatician to support its immunotherapy research program. The candidate will design analysis workflows for genomic data, collaborate with research teams, and contribute to scientific publications. A PhD in a related field and experience in bioinformatics, data science, and programming are essential. This full-time role based in Quebec offers opportunities for research presentation and collaboration.

Qualifications

• Minimum 2-3 years of relevant research experience, including data science, genomics, or bioinformatics.
• Proficiency in at least one programming language (Python or R).
• Expertise with analysis and algorithm development on complex NGS datasets.

Responsibilities

• Design and implement pipelines for analysis of sequencing datasets.
• Analyze experimental data and summarize findings.
• Develop bespoke computational workflows and protocols.
• Contribute to data assembly and writing of scientific manuscripts and grants.

Skills

Data science

Genomics

Bioinformatics

Machine learning

Programming (Python or R)

Linux/Unix

High-performance computing

Education

PhD in Bioinformatics, Computer Science, or related field

Job description

This is a full-time position within the Arnie Charbonneau Cancer Institute reporting to Dr. Sorana Morrissy and Dr. Augusto Faria Andrade, at the Cumming School of Medicine. The position is available beginning immediately for an appointment period of 12 months, with the option to extend for multiple years.

The University of Calgary’s Charbonneau Cancer Institute has a thriving immunotherapy research program focused on developing next-generation immunotherapies and delivering them to cancer patients in Alberta and beyond. In bringing together basic, translational, and clinical scientists and supporting them to achieve a shared mission, this unique ecosystem for translational research produces knowledge, inventions, collaborations, and commercial opportunities. The bioinformatician role will be positioned within the Discovery and Innovation node of this program to identify and study novel therapeutic targets for immune therapy in solid tumors, including pediatric brain cancers, and support collaborative research projects.

The Bioinformatician will design and implement workflows for multi-omic datasets generated in-house and acquired from public data repositories. They will work closely and collaboratively with staff and trainees within and outside of the immunotherapy program to facilitate informatics needs towards translational medicine goals. Their work will focus on the genomics, machine learning, and translational medicine space. They will analyze data, prepare and deliver reports and presentations, attend and present their findings at local, national, and international meetings, and contribute to manuscript and grant preparation.

Responsibilities

• Design and implement pipelines for analysis of sequencing datasets, including genomes, transcriptomes, proteomes, and spatial or single-cell sequencing datasets from both pre-clinical and clinical samples
• Analyze experimental data, summarize and report findings
• Develop bespoke computational workflows and protocols
• Contribute to data assembly and writing of scientific manuscripts and grants
• Presenting research at local, national, and international meetings is highly encouraged

Supervision and Collaboration

• Work collaboratively with other staff and trainees within the immunotherapy program to achieve shared goals
• Work collaboratively with multiple PIs and their teams on diverse projects related to their informatics analysis needs towards translational medicine
• Other tasks and responsibilities as they arise

Qualifications

• PhD degree in Bioinformatics, Computer Science, Molecular Biology, or related field required
• Minimum 2-3 years of relevant research experience, including experience in data science, genomics, bioinformatics, or machine learning
• Proficiency in at least one programming language (such as Python or R)
• Experience with Linux/Unix working environments and high-performance computing clusters
• Expertise with analysis and algorithm development on complex NGS datasets
• Must be able to work both independently and in a team environment
• Detail-oriented, organized, and strong written communication skills as evidenced by a record of publication and scholarship
• Track record of presenting research at local and national meetings
• Demonstrated communication, organization, problem-solving, and interpersonal skills

The successful applicant will work in a team environment that includes clinicians, research scientists, technicians, and bioinformaticians. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.