Publié il y a 7 jours
Research Associate
@ Queen's University
Kingston, Ontario
En bref
Queen's University is hiring a Research Associate to support the Brain Tumour Program, reporting to Dr. Teresa Purzner. The role covers dataset compilation and analysis, manuscript and presentation preparation, grant development, and collaboration with partner institutions across Canada. The posting requires a Master's with 5+ years of experience or a PhD, plus advanced quantitative analysis, REDCap experience, and a first-author publication record. Remote candidates must be reliably available during standard working hours.
Responsabilités :
- Compile, clean and analyze clinical and research datasets
- Lead manuscripts, presentations and knowledge translation products
- Develop and maintain research databases in REDCap
- Liaise with partner institutions on multi-institutional studies
- Contribute to grant applications and literature reviews
Résumé des exigences :
- Master's with 5+ years of experience, or PhD in a relevant field
- Advanced quantitative analysis and survival analysis experience
- Proficiency in SAS, R, Python or SPSS
- REDCap or comparable research data platform experience
- Peer-reviewed publication record, including first author
- Experience integrating AI tools into coding and writing
Outils et compétences
Source et dates
Type de source non vérifié · njoyn
- Date publiée par l’employeur
- 2026-11-01
- Première détection par notre source
- 2026-11-03
- Mise à jour du dossier source
- 2026-11-06
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Données et analytique |
| Expérience | 5 an(s) et plus |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Candidatures encouragées | Femmes, Personnes racisées, Autochtones, Personnes handicapées, 2ELGBTQI+ |
| Formation | Maîtrise (exigé), Doctorat (exigé) |
| Domaines d’études | clinical epidemiology, public health, biostatistics, health services research, neuroscience |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Queen's University
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
- Autres noms enregistrés
- Queen's University
- Le profil indique une agence de recrutement
- Non
| Champ | Valeur |
|---|---|
| Taille | 10001+ |
| Offres sur Jobsy | 32 |
| Voir la page |
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Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to declare their COVID-19 vaccination status and provide proof that they were fully vaccinated or had an approved accommodation to engage in in-person University activities. These requirements were suspended May 1, 2022. However, they remain in effect for students, staff, and faculty in workplaces, including hospitals, where patient care is provided and/or where the work duties or educational requirements of the position involve or support patient care.
About Queen's University
Queen’s University is the Canadian research intensive university with a transformative student learning experience. Here the employment experience is as diverse as it is interesting. We have opportunities in multiple areas of globally recognized research, faculty administration, engineering & construction, athletics & recreation, power generation, corporate shared services, and many more.
We are committed to employment equity and diversity in the workplace and welcome applications from individuals from equity seeking groups such as women, racialized/visible minorities, Indigenous/Aboriginal peoples, persons with a disability, persons who identify in the LGBTQ+ community and others who reflect the diversity of Canadian society.
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Disclaimer: As part of the application process at Queen's University, our recruitment system uses Artificial Intelligence (AI), as defined under the Ontario Employment Standards Act, to ask job-related questions and confirm eligibility for hire. All final hiring decisions are made using non-AI related processes.
Job Summary
Reporting to the Principal Investigator (Dr. Teresa Purzner), the Research Associate will support and help drive the Brain Tumour Program at Queen's University, an integrated clinical and research program studying brain tumour biology, treatment, and patient outcomes. The individual will participate across multiple concurrent projects, responsible for dataset compilation and analysis, contributing to manuscript preparation and publication, supporting grant development, and collaborating with investigators at partner institutions across Canada. A background in clinical epidemiology, cancer epidemiology, population health, or related fields is an asset. The incumbent will join a dedicated and growing team of expert scientists and clinicians who aim to elevate neuro-oncology research at Queen's.
Job Description
KEY RESPONSIBILITIES:
• Independently compile, clean, and analyze clinical and research datasets across multiple program projects, including descriptive analyses, statistical modelling, survival analysis, and other approaches appropriate to the research questions.
• Independently lead and contribute to manuscripts, scientific presentations, and knowledge translation products (including reports, lay summaries, and infographics) arising from program data, including as first author where appropriate.
• Independently develop and maintain research databases (including REDCap), ensuring accuracy, currency, and confidentiality.
• Support multi-institutional collaborative studies on which the Principal Investigator serves as a site lead, liaising with coordinating centres, co-investigators, and partner institution staff.
• Contribute to the development of grant applications, including conducting supporting literature reviews, drafting sections, coordinating co-applicant materials, and tracking submission timelines.
• Provide hands-on day-to-day support and guidance to undergraduate and graduate trainees working on program projects. Formal academic supervision rests with the Principal Investigator.
• Undertake additional duties or special projects as required in support of the Principal Investigator's research program.
REQUIRED QUALIFICATIONS:
• Master's degree with a minimum of 5 years of relevant work experience, OR PhD in a relevant area (e.g., clinical epidemiology, public health, biostatistics, health services research, neuroscience, or a related field). Ten or more years of relevant experience is preferred.
• Demonstrated experience conducting quantitative data analysis, including descriptive statistics, statistical modelling, and survival analysis or comparable advanced methods.
• Proficiency with statistical software (e.g., SAS, R, Python, SPSS) for data cleaning, analysis, and visualization.
• Experience with REDCap or comparable research data management platforms.
• Demonstrated record of peer-reviewed publication, including as first author.
• Working experience integrating AI-assisted tools (e.g., Claude, ChatGPT, Copilot) into coding, analysis, and writing workflows.
• Consideration will be given to an equivalent combination of education and experience.
ASSETS:
• Experience working with large, population-based datasets (e.g., ICES, Statistics Canada) or large-scale electronic medical record data.
• Prior research experience in neuro-oncology, oncology, or related clinical research areas.
• Experience supporting trainees or junior research staff.
• Administrative or project management experience an asset.
SPECIAL SKILLS:
• Respects diversity and promotes equity and inclusion in the workplace.
• Highly self-directed, with a demonstrated ability to take initiative and responsibility for projects from beginning to completion.
• Strong organizational and time-management skills; able to coordinate work across multiple concurrent projects.
• Excellent attention to detail.
• Excellent interpersonal and communication skills, both written and verbal.
• Analytical and problem-solving skills, with an experimental mindset for tackling unfamiliar questions.
• Ability to work effectively as part of a small team and to engage productively with collaborators at partner institutions.
• Ability to adhere to strict confidentiality of patient and research data.
• For candidates working remotely: must be reliably and immediately available during standard working hours, and able to communicate days off and absences in advance.
Employment Equity and Accessibility Statement
The University invites applications from all qualified individuals. Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized persons, Indigenous people, women, persons with disabilities, and 2SLGBTQI+ persons. In accordance with Canadian Immigration requirements, priority will be given to those who are legally eligible to work in Canada.
The University provides support in its recruitment processes to all applicants who require accommodation due to a protected ground under the Ontario Human Rights Code, including those with disabilities. Candidates requiring accommodation during the recruitment process are asked to contact Human Resources at [email protected].
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