Data Science Project

Develop a pilot project to illustrate the role of multi-edge computing in Neuraura's long-term vision for LoOoP.This project will leverage tools and expertise provided as part of the Bell Edge Canada Challenge including AWS tools and integrate prior work completed on the development of the MyLoOoP app by Centennial College's ARIES team.

Website Refresh

The overall objective of this project is to refresh our corporate website to reflect new strategic direction of company and core value proposition to investors and other potential partners. Additional outcomes include:Reinforce refreshed brand positioning of LoOoP product; andSupport engagement with end-user GetLoOoP.com website.

Funding Application Support

The primary objective of this project is to identify and prioritize funding opportunities to support Neuraura's key business priorities, i.e.,:Execution of pilot and full-scale clinical studiesOptimization of electrode design for stimulationMaintenance of IP portfolioFurther outcomes / deliverables of this project are likely to include:Draft grant application/(s)Potential further sources of in-kind support

Database Design – Clinical & Population-Based Data

The primary outcome of this project will be to outline a design for Neuraura’s database of clinical and population-based data. This will take into account the principles of strong data management (e.g., governance, quality, accessibility), relevant data and privacy standards (e.g., HIPPA, PIPEDA) along with opportunities to leverage data sets for internal (e.g., regulatory) and external commercialization opportunities.

Impact Analysis - PCOS

The primary outcome of this project will be a simple tool for the analysis of the potential impact of a new treatment option for Polycystic Ovarian Syndrome (PCOS), populated with assumptions based on secondary research.The impact should be quantified in terms of Quality Adjusted Life Years (QALYs) and economic benefit and its scope should include Neuraura's primary and secondary target markets.To accomplish this, we believe you will need to conduct the following research and analysis:Scope and design the overarching structure of analysis to achieve the desired outcome (in collaboration with employer).Execute on the analysis with oversight from employer.Research input assumptions and populate the tool.Develop a supporting "guide" document to explain the structure and logic of the tool and source of the input assumptions.