Assist with all aspects of research, including developing materials and programming experiments, recruiting and testing human subjects, analyzing behavioral, web scraped, and fMRI data, and miscellaneous research support.
Compensation
$41,000 to $60,000
Responsibilities
Developing materials and programming experiments
Recruiting and testing human subjects
Analyzing behavioral, web scraped, and fMRI data
Providing miscellaneous research support such as literature searches, IRB management, manuscript and grant preparation, and general lab duties
Requirements
Bachelor's degree in Psychology, Cognitive Science, Neuroscience, Computer Science, Statistics, Engineering, Math, or related fields
Commission machines through the full production cycle; system integration, FRT/CX, FAT and Pre-Shipping at our facility in Vancouver for multiple product lines.
Locations (2)
Burnaby, British Columbia, Canada
Vancouver, British Columbia, Canada
Compensation
The salary range is $67,000 to $80,000 CAD. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay.
Responsibilities
Commission machines through the full production cycle
Perform system integration, FRT/CX, FAT and Pre-Shipping at our Vancouver facility
Travel to customer sites to perform SAT, Training, Qualification and Service support up to 30% of the time
Provide support to Cytiva engineers, technicians, and customers in the office or remotely in the field
Troubleshoot Electrical, Mechanical & Software issues on our products
To participate in the day-to-day activities of the markets division providing insights and expertise that help senior colleagues make informed decisions, develop new products and services, and identify new market opportunities.
Preparation of presentations and reports to communicate research findings
Collaboration with cross-functional teams to support business initiatives
Identification of opportunities, development of business cases, management of the deployment and launch of new products and services
Management of client relationships and provision of customer service support to clients and customers
Requirements
undergraduate or master’s-level experience in financial engineering, computer science, AI, engineering, mathematics, statistics or a related discipline
The Coordinator of Programming and Leadership serves as the primary student engagement programmer and advisor for the University, providing educational, leadership, and social programming for the student body.
Compensation
$43,710.00 - $77,920.00
Responsibilities
Develop and implement leadership education and social programming efforts for the student body
Plan and execute large-scale, signature social programs and Make and Take events
Develop and facilitate campus-wide leadership programming
Plan and execute Student Engagement & Belonging’s welcome event
Plan and execute University Day
Requirements
Bachelor’s degree
Nice to have: Master’s degree in related field
Nice to have: Knowledge of student and leadership development theories and practices
Nice to have: Understanding of the role of the student union and its programs
Nice to have: Knowledge of and experience with college student organizations and their needs
Assist in establishing a new lab in the Department of Molecular Genetics, performing genotyping, preparing supplies and reagents, and carrying out experiments under senior lab members' guidance.
Compensation
The pay range for this job profile is $16.02 - $20.82 hourly.
Responsibilities
Perform genotyping
Prepare supplies and reagents
Carry out experiments under guidance of senior lab members
Requirements
High School diploma or GED
Bachelor's degree in biological sciences or relevant field
Lead fraud analytics and data science initiatives to detect and reduce fraud across the organization.
Compensation
The targeted base salary for this position is $138,800 to $208,100 per year.
Responsibilities
Leading fraud prevention efforts by using data to analyze, design, modify, document, and implement rules to address both fraud threats and unusual and suspicious activity.
Proactively analyzing all available data to identify emerging fraud trends and translating those findings into strategic recommendations for cross-functional partners.
Designing, developing, and programming methods, processes, and systems to consolidate and analyze unstructured "big data" sources to generate actionable insights and solutions for customer service and product enhancement.
Partnering closely with Customer Experience & Service (CES), BSA/AML Operations, and Dispute Operations to align fraud detection strategies with operational realities.
Working with CES leadership to identify patterns in customer-reported friction and translating those signals into rule or model optimization opportunities.