Postdoctoral Biomedical Science jobs
- CAMHToronto, ON M6J 1H4
- $93,822.73–$140,734.09 a year
- Full-time
- Demonstrated expertise in computational research methods, data science, and statistical analysis, including proficiency in R, Python, or equivalent analytical…
- View all CAMH jobs - Toronto jobs - Clinical Research Associate jobs in Toronto, ON
- Salary Search: Scientific Associate - Pre-Clinical Research salaries in Toronto, ON
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- Oligomaster IncWaterloo, ON N2L 3G1
- From $50,000 a year
- Full-time +2
- Recently completed a Ph.D. within the last 5 years in materials science & engineering, chemical engineering, biomedical & health science or pharmaceutical…
- Oligomaster IncWaterloo, ON N2L 3G1
- From $50,000 a year
- Full-time +2
- Recently completed a Ph.D. within the last 5 years in materials science & engineering, chemical engineering, biomedical & health science or pharmaceutical…
- Canadian Nuclear LaboratoriesChalk River, ON
- Collaborating with engineering and science teams to ensure the microfluidic chip works seamlessly.
- Establishing methods to develop 3D co-culture for creating…
- Western UniversityLondon, ON
- $76,490–$109,190 a year
- 5 years of experience in bioinformatics, computational biology, data science, or a related research environment.
- Western UniversityLondon, ON
- $76,490–$109,190 a year
- Experience working with HIV, viral pathogens, immunotherapies, biologics, or related biomedical research in a CL2 and/or CL3 laboratory environment.
- VIDOSaskatoon, SK
- Contract
- Completed MSc degree in veterinary medicine, pharmaceutics, biochemistry, immunology, or relevant biomedical sciences (received in the past 2 years).
- View all VIDO jobs - Saskatoon jobs
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- Hybrid Biomedical Optics LabToronto, ON
- In addition to excellent communication and teamwork skills, demonstrated excellence in one or more of the following areas is required: photothermal sciences and…
- University of British ColumbiaVancouver, BC
- $150,000 a year
- Full-time
- A PhD, MD/PhD, MD or equivalent in the biological or biomedical sciences, as part of the UBC requirement.
- Department of Cellular and Physiological Sciences |…
- University of British ColumbiaVancouver, BC
- $60,000–$80,000 a year
- Full-time
- Familiar with academic paper writing and international biomedical research standards.
- Must hold a completed PhD Degree in Medicine, Preventive Medicine,…
- University of British ColumbiaVancouver, BC
- $55,000–$65,000 a year
- Full-time
- PhD in neuroscience, immunology, pathology, cell biology, molecular biology, biomedical sciences, or a related field.
- Macrophage and/or microglial biology;
- University of British ColumbiaVancouver, BC
- $65,000–$75,000 a year
- Full-time
- His laboratory combines human discovery science with advanced experimental technologies to understand disease mechanisms and develop precision therapeutics for…
- View all University of British Columbia jobs - Vancouver jobs - Postdoctoral Research Fellow jobs in Vancouver, BC
- Salary Search: Postdoctoral Research Fellow – Human Neuroimmunology, Brain Organoids and Multi-omics salaries in Vancouver, BC
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- University of British ColumbiaVancouver, BC
- $70,000–$80,000 a year
- Full-time
- Strong understanding of machine learning or AI methods applied to health or biomedical data.
- We are seeking a highly motivated Postdoctoral Fellow with a strong…
- BC CancerVancouver, BC
- $130,864–$188,116 a year
- 2.) Fostering active collaborations in biomedical research within the BCCRI, the UBC Faculty of Medicine and other affiliated universities;
- The University of CalgaryCalgary, AB T2N 4N1
- $50,000–$60,000 a year
- Full-time
- PhD in biomedical research, virology, immunology, biochemistry or a related field, completed within the last 7 years (or will be completed upon PDS start date).
- The University of CalgaryCalgary, AB T2N 4N1
- $100,000 a year
- Full-time
- NOVA sits at the interface of neuroscience, AI, and hardware engineering and supports fellows in translating principles of neural computation into new computing…
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Scientific Associate - Pre-Clinical Research
Scientific Associate - Pre-Clinical Research
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The Laboratory of Behavioural Neuroendocrinology at the Centre for Addiction and Mental Health (CAMH) is seeking a full-time, contract (12 months) Scientific Associate to support research on sex and gender differences in brain health, mental health, aging, and neurodegenerative disease. Reporting to the Principal Investigator (PI), the Scientific Associate will provide scientific and computational expertise, bridging computational methods with diverse research data, including raw preclinical and large-scale clinical, population-based, neuroimaging, and longitudinal datasets.
The successful candidate will apply computational research methods, machine learning, data science, and statistical modelling to organize, integrate, process, and analyze complex datasets. Experience investigating sex differences and/or sex-specific factors in biological or health research is strongly preferred, along with experience working with preclinical data and experimental research. Responsibilities will include programming, data preprocessing and quality control, data integration, statistical and machine learning modelling, visualization, and reproducible workflows.
The Scientific Associate will contribute to research projects, secondary data analyses, grant proposals, manuscripts, presentations, and knowledge translation, while providing mentorship to trainees and research staff. The role will support high standards of scientific integrity, data governance, reproducibility, and responsible use of computational methods.
This position is primarily based at the CAMH 250 College Street Site, with flexibility for hybrid work arrangements in accordance with operational requirements.
Lead and contribute to research projects examining sex and gender differences in brain health, mental health, aging, and neurodegenerative disease.
Bridge computational research methods with diverse research data, including raw preclinical datasets and large-scale clinical, population-based, neuroimaging, and longitudinal datasets.
Conduct secondary data analyses, including data management, integration, harmonization, quality assessment, statistical modelling, and interpretation of complex datasets.
Develop and apply data science, machine learning, and computational methods, including programming, data preprocessing, feature engineering, modelling, visualization, and reproducible analytical workflows.
Apply computational and statistical approaches to identify sex-specific risk factors, biomarkers, and trajectories and support translational research in women’s health.
Prepare and contribute to grant applications, scientific manuscripts, reports, presentations, and knowledge translation materials, and support collaborative interdisciplinary research initiatives.
Mentor and provide guidance to trainees and research staff in research methodology, programming, data analysis, scientific writing, and professional development.
Support responsible research practices through data governance, research ethics, reproducibility, privacy, and responsible application of computational and machine learning methods.
PhD in Neuroscience, Data Science, Biostatistics, Epidemiology, Psychology, Biomedical Sciences, Health Sciences, or a related discipline, with a minimum of one (1) year of postdoctoral training in an academic, hospital, research institute, or equivalent research environment.
Demonstrated expertise in computational research methods, data science, and statistical analysis, including proficiency in R, Python, or equivalent analytical programming languages.
Demonstrated experience working with complex preclinical research data and experimental datasets, with an understanding of experimental design, animal models, and biological context.
Demonstrated experience working with large-scale and/or multimodal datasets, including clinical, population-based, longitudinal, neuroimaging, administrative, or biobank data.
Experience with machine learning, statistical modelling, data integration and harmonization, data preprocessing and quality control, feature engineering, visualization, and reproducible computational workflows.
Demonstrated experience investigating sex differences and/or sex-specific factors in biological, neuroscience, health, aging, or related research; experience in women's health, menopause, cognition, Alzheimer's disease, dementia, or neurodegenerative disease is an asset.
Strong record of scientific productivity, including peer-reviewed publications and experience preparing manuscripts, grant applications, research reports, presentations, and knowledge translation materials.
Demonstrated leadership, mentorship, communication, and project management skills, with experience collaborating across multidisciplinary teams and mentoring trainees or research staff. Knowledge of research ethics, data governance, privacy, and responsible research practices is required.
Compensation & Benefits:
- Salary is competitive and based on experience, with a hiring range of $93,822.73 – $117,278.41 per year.
- Employees in this role may progress within the full pay range of $93,822.73 – $140,734.09 per year
- CAMH’s Total Rewards : Includes participation in HOOPP defined benefit pension plan , flexible work arrangements, and ongoing professional development support.
This role allows professionals to apply their expertise in a mission-driven environment dedicated to public health outcomes.
CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto. As a CAMH employee, you will contribute to our mission by supporting teaching, research, and clinical care across the hospital.
CAMH is dedicated to equity, diversity, and inclusion. Our commitment is to foster a workplace, teaching, and learning environment that is inclusive, respectful, and free from discrimination or harassment.
CAMH strongly encourages applications from candidates who reflect the diversity of the communities we serve, including First Nations, Métis, and Inuit Peoples; Black and other racialized communities; LGBTQ2S+ communities; women; and people with disabilities, including those with lived experience of mental health and substance use challenges.
We welcome applicants from all backgrounds. Thank you to all who apply; however, only those selected for an interview will be contacted. If you require accommodations during the application or recruitment process, please let us know.
CAMH est un hôpital universitaire et un institut de recherche pleinement affiliés à l'Université de Toronto. En tant qu'employé de CAMH, vous contribuerez à notre mission en soutenant l'enseignement, la recherche et les soins cliniques à travers l'hôpital.
CAMH est dédié à l'équité, à la diversité et à l'inclusion. Notre engagement est de favoriser un environnement de travail, d'enseignement et d'apprentissage qui soit inclusif, respectueux et exempt de discrimination ou de harcèlement.
CAMH encourage fortement les candidatures de candidats qui reflètent la diversité des communautés que nous servons, y compris les Premières Nations, les Métis et les Inuits; les communautés noires et autres communautés racialisées; les communautés LGBTQ2S+; les femmes; et les personnes en situation de handicap, y compris celles ayant une expérience vécue des défis en matière de santé mentale et d'usage de substances.
Nous accueillons les candidatures de toutes origines. Merci à tous ceux qui postulent ; cependant, seuls les candidats sélectionnés pour un entretien seront contactés. Si vous avez besoin d'aménagements pendant le processus de candidature ou de recrutement, veuillez nous en informer.