Postdoctoral Scholar in Computational Oncology

Description

Area
:
Computational Oncology

Duration
: 18 months with possibility of extension

Start Date
:
January 1, 2027

Salary
: $65,000 CAD per annum, plus University of Calgary Plan C health benefits

The Arnie Charbonneau Cancer Institute in the Cumming School of Medicine at the University of Calgary is accepting applications for a Postdoctoral Scholar (PDS) in Computational Oncology, with a specific focus on lung cancer.

This position reports to the Principal Investigator of Glans-Look Lung Cancer Research (GLR) Program, an interdisciplinary research initiative focused on improving outcomes for patients with lung cancer through the collection and analysis of detailed information from every Albertan diagnosed with lung cancer. Based at the Arthur JE Child Comprehensive Cancer Centre, the GLR maintains a comprehensive, population-based database that captures the full patient experience, from genomic sequencing data to treatments, clinical outcomes, patient-reported experiences, and health-related quality of life.

Originally developed to support retrospective studies, the GLR has expanded to include prospective patient-reported outcomes and serves as a key research platform to evaluate the real-world use and impact of precision diagnostics and therapies. Insights generated have helped identify gaps in access, measure delays in treatment implementation, and guide improvements in the equity and efficiency of lung cancer care across the province.

The PDS supervision will be provided by Dr. Vishal Navani, Clinical Assistant Professor and Medical Oncologist. This fellowship is embedded in a research program with extensive connections to local community partners, national and international research networks.

Job Description:

The successful candidate will join a multidisciplinary team working at the intersection of computational oncology, molecular data science, and lung cancer outcomes research. Leveraging one of Canada's most comprehensive population-based lung cancer research platforms, the PDS will lead the preparation, cleaning, harmonization, and analysis of clinical and molecular datasets to support collaborative research initiatives and outcomes-focused studies. The position offers an opportunity to work with large-scale rea world data and contribute to research aimed at improving understanding of lung cancer care, treatment patterns, and patient outcomes.

Working closely with clinicians, biostatisticians, data scientists, and bioinformatics collaborators, the PDS will lead efforts to integrate clinical and molecular data and develop analytical approaches that support multi-centre research and data harmonization activities. The successful candidate will play a central role in ensuring data quality, comparability, and readiness for analysis across multiple data sources.

The PDS will lead analyses for one or more research studies using harmonized datasets to examine clinically relevant questions related to treatment effectiveness, patient outcomes, patterns of care, and healthcare system performance. Research activities may incorporate artificial intelligence (AI), advanced statistical methods, machine learning approaches, and real-world evidence methodologies to generate insights relevant to precision oncology and equitable cancer care.

• Lead the preparation, cleaning, harmonization, quality assessment, and analysis of clinical and
• molecular data within the Glans-Look Lung Cancer Research Program and related collaborative research datasets
• Develop and apply statistical and computational approaches to support data integration, cohort development, and outcomes-focused lung cancer research
• Collaborate with clinicians, biostatisticians, data scientists, and bioinformatics specialists to integrate…