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    Research Analyst - Toronto, Canada - Centre for Addiction and Mental Health

    Centre for Addiction and Mental Health
    Centre for Addiction and Mental Health Toronto, Canada

    2 days ago

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    Description

    Position Description

    :

    The Neurobiology of Depression and Aging (NDA) Program has an opening for a part-time, contract (6 months) Research Analyst. This position provides research support to Dr. Yuliya Nikolova and her lab members, and will be co-supervised by Dr. Daniel Felsky at the Krembil Centre for Neuroinformatics (KCNI). It offers the opportunity to be part of a productive team and benefit from an active collaboration between Research Programs at CAMH.

    Primary responsibilities will include:

  • Performing statistical analyses to evaluate the effect of novel sex-specific polygenic risk scores for depression on brain structure and function.
  • Assisting in the writing of scientific manuscripts summarizing this work.
  • Working with trainees to write and maintain high quality online documentation for computational/research tools and workflows used in the lab.

    • You will support a workplace that embraces diversity, encourages teamwork and complies with all applicable health and safety and regulatory and legislative requirements. This 5-month contract position is located at 250 College Street at the College Street Site of CAMH.

    Qualifications:

    The successful candidate will have a Bachelor's Degree (e.g., Computer Science, Informatics Technology, Bioinformatics, Neuroscience) with a minimum of 1 year of experience working in a research environment. The candidate will have 1) a solid understanding of data handling and fundamental biostatistics, including some previous work with population, cohort, or clinical datasets (experience with neurocognitive, MRI, or human genomic data types is an asset), 2) experience with computational tools including command line (linux, unix), version control, and cloud computing, 3) proficiency in R or Python (experience with Confluence, Trello, Wix, and other web-based tools is an asset). Experience with regression, mixed models, principal component analysis, common machine learning models (lasso, ridge, elastic net regression, random forest, gradient boosted trees, neural networks), data clustering methods.

    This position requires well-developed interpersonal and communication skills, as you will interact with a diverse set of stakeholders, researchers, students, organizations, and other support staff. You are a self-driven, highly detail-oriented and proactive worker with excellent organizational, problem-solving, and multi-tasking skills. You also demonstrate sound judgment, adaptability, and composure. You are flexible and willing to learn and adapt to different work assignments in a team setting, as well as work independently with minimal direct supervision. You value research and recognize the transformative impact it can make on patient's lives. The successful candidate will support and implement anti-oppressive and anti-racist best practices in the workplace. Understanding of and appreciation of systemic and personal privilege related to diversity, with ability to work with stakeholders of diverse identities and ethno-racial and cultural backgrounds is required.

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