Objective / Engagement Overview
.Net and API
As a user study team, we are looking for an experienced / senior Backend OR Full Stack Engineer to help us update/maintain our existing study data pipeline and help bring up some ML application. The ideal candidate is able to:
•Understand complex data pipelines and learn quickly how to maintain/upgrade them
•Get familiar with the data being collected and look for ways to make data collection/cleaning/storage more efficient
•Build new backend tools to help with data collection on Apple Silicon
•Can apply ML methods to help with data analysis (regression, sentiment analysis, computer vision, etc…)
•Work cross-functionally and adapt analysis quickly
•Bonus: if Full stack engineer, a bonus would be building E2E applications (backend and frontend) on iOS devices (using Xcode)
The candidate has to be able to work exceptionally well and efficiently in a fast-paced environment and multitask between data analysis requests, tasks and projects.
Skills
• Pro level Python
• R (optional)
• Track record working with complex datasets + integration across multiple systems
• Data Viz tools like R Shiny, Tableau (nice to have)
• Excellent communication skills
• Statistical analysis (hypothesis testing, statistical modeling, power analysis …)
• Git
• Very well organized
• Work exceptionally well in a fast-paced environment, and be able to multitask between tasks/projects
Assumptions
Candidate must have had relevant experiences from a prior academic/professional role. Good candidates usually come from the following fields:
• Data science
• Statistics
• Analytics
• Physics/Math
• Life sciences (with a focus on biostatistics or data science)
• Neurosciences (with a focus on biostatistics or data science)
• Clinical Trial or Studies
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