Research Associate Ii
6 days ago
**Classification & Regular Hours**:
Hours per Week: 37.5
Salary Grade: R3
Please note, this is 2-year grant-funded role.
**Secondments are Welcome**:
Click here for more details on secondment opportunities.
**About Western**:
**About Us**:
Western University has received a $66M investment from the Canada First Research Excellence Fund (CFREF). This investment will bring together researchers from across the University under a unifying initiative called BrainsCAN. The mission of BrainsCAN is to reduce the burden of brain disorders that affect cognition, by extending and mobilizing knowledge of the mappings between neural circuits and high level behaviour and cognition to deliver evidence-based interventions.
A major component of BrainsCAN is its Research and Innovation Core Infrastructure, to provide essential support to our researchers. The mission of the BrainsCAN Rodent Cognition Research and Innovation Core (RoCRIC) is to facilitate understanding of the circuits and mechanisms underlying cognition.
**Responsibilities**:
The role will work with the Research Scientist to develop sophisticated computational pipelines for the analysis of complex neuro-behavioural data sources and optimize the translational cognitive testing platform and provide a sophisticated analysis framework. The Research Associate will evaluate and interpret experimental results, develop models or correlations, and prepare reports and other written material for presentations and/or submissions to various stakeholders as required.
**Qualifications**:
**Education**:
- PhD in Neuroscience or relevant field
**Experience**:
- 3 years working experience in a related academic research environment with an independently developed research portfolio
- Experience developing data pipelines for neurobehavioural datasets
- Experience using technologies such as Optogenetics, Calcium Imaging, and Electrophysiology
- Publication record including publications in high impact journals in the area of brain function
- Experience using touchscreen tasks of cognition preferred
- Experience conducting behavioural studies with human populations is preferred
- Experience using deep-learning neural networks preferred
Knowledge, Skills & Abilities:
- Demonstrated strong knowledge of data science methodologies relevant to the processing of neurobehavioural data
- Demonstrated knowledge of relevant statistical methodologies
- Ability to collaborate across internal and external boundaries to meet common objectives, improve outcomes and support work beyond one's own unit
- Communication skills to describe technical concepts effectively to both novice and sophisticated users and with an ability to complete detailed analytics and reports
- Ability to work in a manner that models best practices in confidentiality standards
- Detail-oriented with an ability to function and process information with high levels of accuracy
- Ability to work within a flexible schedule to accommodate the University’s events and activities
- Ability to provide guidance, support and feedback in a way that is positively received
- Ability to investigate defined issues, solicit input, and suggest remedies and alternative approaches that meet the needs of the situation
- Proven ability and natural inclination to develop relationships by interacting with people in a professional, respectful and diplomatic manner
- Ability to interpret and identify key results from research and to succinctly summarize research findings
- Ability to work independently and effectively as a member of the team to achieve department goals
- Ability to adhere to legislated safety requirements and Western safety policies
- Demonstrated working knowledge of relevant scientific/research principles
- Demonstrated ability to research/investigate issues and resolve problems
**Western Values Diversity**:
Accommodations are available for applicants with disabilities throughout the recruitment process. If you require accommodations for interviews or other meetings, please contact Human Resources or phone 519-661-2194.
**Please Note**:
We thank all applicants for their interest; however, only those chosen for an interview will be contacted.
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