Position Title: Postdoctoral Fellow / Senior Data Scientist / Biostatistician
Neuroimmunology & Multiple Sclerosis Research
Memorial University of Newfoundland – Faculty of Medicine
Location: St. John’s, Newfoundland and Labrador, Canada (remote or hybrid work arrangements may be considered)
Duration: 1 year (renewable, contingent on performance and funding)
Start Date: Spring-Summer 2026
The Translational Neuroimmunology Laboratory invites applications for a highly motivated to join a multidisciplinary research program led by Dr. Craig Moore (https://www.mun.ca/medicine/faculty-and-staff-resources/faculty-a-z/moore-craig-s.php). This position is supported through a major award from Branch Out Neurological Foundation to advance innovative research on exercise as a disease-modifying therapy in multiple sclerosis (MS). This role represents a unique opportunity to work with one of Canada’s most deeply phenotyped MS cohorts and biorepositories (HITMS), integrating longitudinal clinical, behavioural, fitness, and high-dimensional biomarker datasets to address fundamental questions in disease progression and therapeutic response.
The successful candidate will play a central role in an effort to:
- Extract and analyze molecular biomarker data from >1000 longitudinal patient samples
- Integrate biomarker profiles with clinical, cognitive, and fitness measures
- Identify biological signatures associated with disease progression and response to exercise
- Investigate why some individuals show improved trajectories in MS
This work is embedded within the Health Research Innovation Team in MS (HITMS), a decade-long longitudinal cohort with extensive biospecimens and deep phenotyping.
Key Responsibilities
- Lead and implement advanced statistical and computational analyses of datasets
- Integrate omics-scale biomarker data (e.g., cytokines, proteins, circulating factors) with longitudinal clinical outcomes
- Develop and apply models for:
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- Longitudinal and repeated-measures data
- Disease progression and subgroup stratification
- Predictive modeling and biomarker discovery
- Perform data harmonization across platforms (e.g., Luminex, Ella systems)
- Contribute to study design, analysis plans, and interpretation of results
- Collaborate closely with clinicians, neuroscientists, and trainees
- Lead and contribute to high-impact publications and grant outputs
- Support training of graduate and undergraduate trainees
Required Qualifications
- PhD in Biostatistics, Bioinformatics, Data Science, Computational Biology, or a related field
- Strong expertise in statistical and machine learning modeling of longitudinal data
- Experience with high-dimensional biological or clinical datasets
- Proficiency in R, Python, or similar analytical platforms
- Demonstrated track record of peer-reviewed publications
Preferred Qualifications
- Experience in neuroimmunology, MS, or chronic disease cohorts
- Familiarity with biomarker platforms (e.g., multiplex assays, proteomics)
- Experience working with large longitudinal cohort datasets
- Strong collaborative and communication skills
Compensation
Salary will be commensurate with experience and aligned with funding guidelines (e.g., postdoctoral or senior research associate scales; approximately $70,000+ annually as per grant allocation).
How to Apply
Please submit to craig.moore@mun.ca
- Curriculum vitae
- Cover letter outlining research experience and interests
- Names and contact information for three references
Applications will be reviewed on a rolling basis until the position is filled.
Contact information:Craig.moore@mun.ca
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